Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Field
-
how DNA LLM work, and develop solutions to integrate them into the neural network architectures developed by the lab. - Focus on developing new solutions for the scalability of neural networks and large
-
, your mission will include: Develop a Mixture-of-Experts LLM agent framework tailored for network management tasks. Design agentic emergent communication and negotiation protocols for distributed AI nodes
-
to apply. This integrated pipeline spans: continuous clinical genomic data re-analysis → massive parallel clinical biomarker postprocessing → clinical NLP and LLM tool development (history-taking, visit
-
. Deep expertise in predictive modeling, classical ML algorithms (e.g., decision trees, gradient boosting), large language models (LLMs), generative AI, MLOps, and AutoML using frameworks like PyTorch
-
relevant social science discipline and research experience. A JD or LLM in addition to a Ph.D. is preferred. A history of successful teaching at the graduate level and experience teaching online is strongly
-
applicants in the areas of Artificial Intelligence (including Generative AI & LLM, Machine Learning, Natural Language Processing, Computer Vision, and Knowledge Engineering), Data Mining and Analytics
-
spatial data visualization tools. Building AI solutions, including chatbots, RAG, and other LLM-based tools. Interest in and experience developing software to support data-driven research. Application
-
students Applicants should normally have a first degree in Law (e.g., LLB, BA(Jurisprudence) and JD) and an additional postgraduate degree in Law (e.g., LLM, PhD, D Phil and SJD). Those who do not have an
-
postgraduate students. Applicants should normally have a first degree in Law (e.g., LLB, BA(Jurisprudence) and JD) and an additional postgraduate degree in Law (e.g., LLM, PhD, D Phil and SJD). Those who do not
-
-baccalaureate researcher position to investigate and implement strategies for leveraging large language models (LLMs) to help users navigate the many mission data sets and data services offered by the NASA/IPAC