Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Field
- Computer Science
- Engineering
- Biology
- Law
- Education
- Medical Sciences
- Statistics
- Business
- Social Sciences
- Chemistry
- Design
- Psychology
- Earth Sciences
- Economics
- Environment
- Mathematics
- Humanities
- Physics
- Electrical Engineering
- Materials Science
- Arts and Literature
- Linguistics
- Philosophy
- 13 more »
- « less
-
downtown Washington, D.C. Antonin Scalia Law School is a Top 50 law school. A relatively young law school, Scalia Law offers students an opportunity to pursue a JD, JM, or an LLM. About the Position
-
machine unlearning, privacy-preserving techniques, and robust data curation. AI Safety : Ensuring robust alignment and safety in multi-agent LLM systems Efficiency: Streamlining large-scale model
-
are encouraged to make this project your own in consultation with your supervisors. Where to apply Website https://www.academictransfer.com/en/jobs/363411/phd-position-competition-law-en
-
, embedding pipelines, and LLM-integrated systems. Strong background in network science and graph analytics, including: Graph modeling and analysis using tools such as NetworkX Graph-based ML or graph
-
, life insurance, retirement plans, tuition benefits, ECO pass, paid time off – vacation, sick, and holidays and more. To see what benefits are available, please visit: https://www.cu.edu/employee
-
Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Grafing bei München, Bayern | Germany | about 1 month ago
embedding structure lets an LLM ground its claims?) This position provides the opportunity for you to build specialist knowledge whilst developing key professional experience, both of which will help you to
-
organizational productivity. Familiarity with Prompt Engineering, Large Language Model (LLM) architectures, and AI ethics in an educational setting. Demonstrated knowledge of emerging AI technologies and
-
model architectures for LLM security research. Since T2I models receive less attention, it is important to motivate further research on these models. For this purpose, a comprehensive comparison of
-
& Privacy Engineering Generative Modeling: Design, train, and validate generative machine learning models (GANs, VAEs, diffusion models, and LLM -based tabular synthesizers) to generate high-fidelity
-
Application Experts to join the SELLMA project SELLMA (Swedish Large LLM Arena) is a national initiative with the goal of developing, training and making available high-quality open foundation models with