Found 69 repositories(showing 30)
TenureAI
Autoresearch with PhD-level workflows and modular agent skills. Built for the autonomous AI Scientist.
PhD Research Copilot: A state-machine based AI skill for automated literature intelligence, systematic review synthesis, and dissertation framework construction. Optimized for Trae (Solo Mode) & Cursor.
flonat
Shareable Claude Code infrastructure for PhD researchers — skills, agents, hooks, and rules for academic workflows
mmcdermott
A collection of resources and information for concrete skills that are helpful when pursuing a PhD in computer science (specifically in ML/AI or related disciplines)
roboticcam
it contains skill-evaluation (PhD entrance) questions and also links t our own machine learning competition website
fcakyon
Research integrity plugin for Claude Code — paper auditing, citation verification, experiment analysis, and methodology-first skills for academic workflows.
ShahriarAbir86
Claude Skill — যেকোনো দেশের নাম দিলে Masters/PhD scholarship guide বানিয়ে দেয়
RheoDesign
TITLE: SU(PE)RREAL Director: Li-Qun Zhao SuperReal is about the manipulation of the mass information in the Big Data Era. Due to the development of multi-media technologies, everyone has submerged in the data ocean. Data could be generated by anything surround us. Instead of generating forms and effects, the key of SuperReal is, how we can parameterize the information mapping, regardless visible or invisible, with visual communication. Various multi-media tools will be used in data collection, processing and presentation. The workshop will start with exercises of data mapping and visualization through parametric modelling tools. Surreal emerges when we represent and reproduce the SuperReal data with multi-media medium, which promotes more interactive response between clients and users. We understand the representation of SuperReal is the project itself, meaning iterative feedback from statistical database to inspirational presentations will generate the design concepts. In this workshop, we will borrow the techniques and knowledge for film, animation and game industries, to produce the super-real surreal architecture in-between the virtual and the real space. The context of our workshop will be based on the imagination of how people would use the Galaxy Soho in Beijing in 50 years from now on. As we know, the Galaxy Soho is a new icon among those most recognizable icons in the capital of China. All the icons are designed to play against the human scale as the way to respect humans. The application of the SuperReal & Surreal through multi-media tools is how to re-occupying the macro anti/pro-human iconic buildings with micro events in human scale inspired by the data mapping outputs that we produced in the early stage. Some of the most prominent features, which the participants will be exposed to during AAVS Beijinginclude: • Teaching team: AAVS Beijing tutors are selected from recent graduates / current tutors at the AA. Participants engage in an active learning environment where the large tutor to student ratio (5:1) allows for personalized tutorials and debates. • Facilities: AAVS Beijing is based on Tsinghua University, which offers laser cutting, CNC milling, and 3d printing facilities. • Computational skills: The toolset of AAVS Beijing includes the most advanced computational design tools, such as Rhinoceros, Maya, Digital Project, Processing, Arduino, and Grasshopper. According to the agenda of this year, it is also include InformationMapping and Multi-Media representation tools. • Theoretical understanding: The dissemination of fundamental design techniques and relevant critical thinking methodologies to the participants through theoretical sessions and seminars forms one of the major goals of AAVS Beijing. • Professional awareness: AAVS Beijing performs as a simulation of the professional environment due the priority given to team-based design approach. Participants ranging from 2nd year students to PhD candidates and full-time professionals experience a highly focused collaborative educational model, which promotes research-based design and making. • Fabrication: According to the specific agenda of each year, form node model to a one-to-one scale prototype could be fabricated and assembled by design teams. • Lecture series: Based on its unique location, Beijing, AAVS Beijing creates a vibrant atmosphere with its intense lecture programme conveying the diverse expertise of professionals from some of the world’s exciting practices in the areas of urbanization,regional and computational architecture design.
fanxin199
Practical skills distilled through self-exploration by an immunology PhD: publication-quality bioinformatics analysis figures, in-depth interpretation of the literature, and National Natural Science Foundation grant writing
RockyChen0205
A Skills Repository for AI PhD Students
uddin98
👋 Hi, I’m Uddin! 🎓 Electrical Engineer | M.Sc. in Intelligent Systems @ MPEI. 🔬 Research: Power systems, stability, EVs, ML. 💻 Skills: Python, MATLAB, PSCAD, DIgSILENT. 📚 Published in IEEE & EJECE. 🎥 YouTube: [@hi96077](https://youtube.com/@hi96077). 🚀 Goal: PhD in sustainable power systems.
Enzogregorio
Enhance academic workflows by auditing papers, verifying citations, and analyzing experiments with a research integrity plugin for Claude Code.
COMP6905-SOFTWARE-ENGINEERING
Graduate Recruitment (GradRec) system that will enable faculty members to advertise Masters/PhD positions, provide information about their research projects and the availability of financial aid, and specify the required skills/background of the applicants.
FabianMenekshi
Investigating how salaries in Data Science roles in the US West are influenced by job requirements like education and skills. Using a dataset from Indeed job listings, we aim to build an interpretable regression model to analyze salary dependencies, with a focus on assessing if a PhD guarantees a higher salary.
haseebtehsin
develop a Graduate Recruitment (GradRec) system that will enable faculty members to advertise Masters/PhD positions, provide information about their research projects and the availability of financial aid, and specify the required skills/background of the applicants. Prospective students, after registering, will provide the GradRec system with relevant information about their education, research interests, work experience, intended start date, need for financial support, etc. The system will match suitable candidates to supervisors and/or research projects. A channel of communication will then be established between both sides. The GradRec system will enable supervisors to make formal admission offer and students to accept (or decline) the offer. Program of Studies will be set up for the student and his/her progress will be monitored till the completion of the degree.
0r080r0
Portfolio to showcase my skills as a PhD candidate
Mason-auten
Foundational data and work skills for incoming PhD students in Political Science.
0r080r0
Music Website: Evidence of my Music Industry Experience & Research Skills for a PhD in Musician Health
pzq123456
In this phase, you'll acquire valuable skills, including mathematics, algorithms, programming, and design—skills that greatly benefited me during my PhD and my time at Microsoft. I'm confident they'll boost your career as well.
SNL-UCSB
A Claude Code skill that takes PhD students from a pile of papers to a synthesized understanding of what the field knows, what it doesn't, and where to push next. Intent → Triage → Deepen → Synthesize.
Global-TechHR
Extensive knowledge in machine learning and deep learning techniques Solid background in image processing/computer vision Experience in building datasets for computer vision tasks Experience working with and creating data structures / architectures Proficncy in at least one major machine learning framework such as Tensorflow, Pytorch exp visualizing data to stakeholders Ability to analyze and debug complex algorithms Highly skilled in Python scripting language Creativity and curiosity for solving highly complex problems •Excellent communication and collaboration skills Educational Qualification: MS in Engineering, Applied Mathematics, Data Science, Computer Science or equivalent field, with 3 years industry experience, a PhD degree or equivalent industry experience.
These are a few fundamental facts every Ph.D. students need to know and should have a clear idea about it to get the best possible output from a Ph.D. degree. Are You Sure You Want To Do A Ph.D. Degree? How about we are under no false impressions, finishing a Ph.D. isn’t simple. A little bit out of your profundity a ton of the time. Its four years of your life, to ensure it is the thing that you truly need to do. If you want to pursue a career in science, a Ph.D. isn’t constantly vital. It is conceivable to make extraordinary advances into the industry without a doctoral certificate. All things considered, a Ph.D. can likewise be an exceptionally valuable capability with numerous transferable aptitudes to add to your CV. When you’ll have completed, you can incorporate basics, for example, time the executives, organisational skills, prioritising workloads, attention to detail, writing skills, presenting to an audience – and in particular – flexibility, to give some examples. CHOOSE YOUR PROJECT, AND SUPERVISOR, WISELY. This Is Significant. In addition to the fact that this helps you to keep connected with your venture even through the carefully moderate occasions, it likewise enormously improves your capacity to offer yourself in a meeting. In the event that you can demonstrate energy and excitement about the venture and the science then you’ll be that one stage in front of different competitors – which is even more significant since numerous studentships are aggressive. Read More: Why Quantitative Analysis is the Master Key to a Successful Thesis Does your potential supervisor have a productive reputation for distributing work? What is the community of scientists in the lab you might work in? Are there experienced post-doctoral researchers working in the lab? Who will your counsel be? Is your director a specialist in the field you are keen on? Is the work you will do notable and novel, or is it very speciality? Treat It Like A Job. In an academic environment, all things considered, you will characterize your own calendar; there won’t really be somebody checking you all through the workplace. In all actuality, you are as yet an understudy – and a PhD degree still offers a large number of the advantages of an understudy way of life. Be Organised. This is an easy decision yet at the same time, it merits notice. Take an hour on a Monday morning to think of a rundown of the present moment and long haul objectives. You’ll presumably need to display your work at customary lab gatherings, so it’s constantly worth comprehending what must be finished The more great use you set aside a few minutes, the simpler it’ll be to complete your PhD over the long haul. In addition, it’s stunning to kick back and take a gander at real diagrams, as opposed to stress over having enough to put into a paper. When you’ve composed up your information, you’ll understand you’ve done undeniably more than you had foreseen and the subsequent stage forward will be entirely more apparent. Learn How To Build And Use Your Network. As a PhD understudy, you are a finished beginner in the world of science and most things in the lab will be – if not different to you – not stunningly commonplace. Right off the bat, there are lab technicians and research assistants, who have most likely been utilizing the strategy you are learning for quite a long time and years. They are inconceivably experienced at various systems and are regularly glad to help demonstrate to you how things are finished. There are postdocs and other Ph.D. understudies, as well. Not exclusively would they be able to assist you with everyday analyses, they can offer an extraordinary viewpoint on how something is done and will presumably have a convenient back-list of extravagant new systems to attempt. Read More: Stages of a Successful Doctoral Thesis Another extraordinary motivation to go to gatherings, obviously, is the social-side as well – take advantage of this. No one can tell who you may meet and associate with over a couple of beverages once the discussions are finished and the gathering starts. Keep Your Options Open. Regardless of having started along the scholastic way, choose that really, working in a lab situation isn’t for you. Most PhD graduates, in the end, won’t seek after a scholastic profession, yet proceed onward to a wide scope of different livelihoods. It may be that Science Communication is more up your road. This was unquestionably the situation for me – and I ensured that I participated in however many open commitment occasions as could be expected under the circumstances while finishing my PhD. You may likewise consider a business enterprise as a course far from the scholarly world, which may even now enable you to utilize your expert scientific knowledge. Intellects Linkup USA provides the best well-refined form of reports. Our research paper writing service helps in getting all your major work done in a defined time from some of the research paper writing guides. For More: Intellects Linkup USA
Drendorphins
All experimental and analytic techniques i have acquired yet.
Huntleychris
The alexa skill for phd partner
Siddharth1010
No description available
sattisatti1
learning_python_as_skill_for_my_PhD
zubairbit311-hub
https://phdwise.com/time-management-tips-for-doctoral-students/
kipower254
My pet project for perfecting my javascript skills to PHD levels
jonpaf85
Summary of laboratory skills demonstated by poster presentation and PhD Thesis
CAMES-Engineering
Files for the PhD project concerning skills assessment in ultrasound guided CVS