Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Field
-
contributing to grant proposals or technical narratives for funded research projects. 5. Experience with or interest in applying AI or machine learning tools to environmental modeling or geospatial
-
appropriate applications of predictive modeling, machine learning, Generative AI, and other emerging technologies into teaching and experiential learning. Conduct high-quality research in the candidate’s
-
appropriate applications of predictive modeling, machine learning, Generative AI, and other emerging technologies into teaching and experiential learning. Conduct high-quality research in the candidate’s
-
create an environment rich with sensor data and distributed control intelligence that can be applied to solve these problems through the application of machine learning, intelligent optimization
-
large language model (LLM) and retrieval-augmented generation (RAG) approaches Systems and mathematical modeling of biological or complex systems Natural language processing and machine learning Data
-
of the following areas: Earth system models (ESMs), atmospheric chemistry and aerosols, machine learning for Earth system modeling, land surface processes Experience developing independent research
-
Radboud University Medical Center (Radboudumc) | Nijmegen, Provincie Gelderland | Netherlands | about 2 months ago
researchers to join our effort in AI for protein structure modeling in cancer immunotherapy design. Profile A — AI PhD in machine learning, computer science, computational science, or a related field. Strong
-
Your Job In this position, you will be an active part of our AI Consulting Team. Together with our partners, we develop new and innovative applications of Machine Learning. You will connect to
-
and clinical datasets Statistical modeling and survival analysis Machine learning and retrieval-augmented AI models for biomarker prioritization and decision support ·Work closely with cross-functional
-
and clinical datasets Statistical modeling and survival analysis Machine learning and retrieval-augmented AI models for biomarker prioritization and decision support ·Work closely with cross-functional