-
Details Title Postdoctoral research fellows in generative, multimodal AI, and seismic foundational models School Faculty of Arts and Sciences Department/Area Earth and Planetary Sciences Position
-
Details Title Postdoctoral AI Researcher in AI/ML for Foundation Models, Scientific Applications, and AI Systems School Faculty of Arts and Sciences Department/Area Kempner Institute at Harvard
-
developing next-generation AI methods for healthy climate adaptation. The position will focus on building and evaluating foundation models for large-scale spatiotemporal health and environmental data. Our team
-
modern machine learning and a strong record of research accomplishment who are excited to build brain foundation models and other AI systems that advance our understanding of neural activity, brain
-
of the primary objectives of the ITC is to integrate conceptual theory with computational modeling. We are, therefore, interested in candidates working in any field related to theoretical and/or numerical
-
to work) in reduced order modeling, Causal inference and High Performance Computing are desirable. We particularly encourage applicants with expertise in Multi-scale Modeling, Evolutionary Computation
-
, and multimodal modeling of protein function and cellular state. We seek candidates with strong technical preparation in modern AI/ML, a demonstrated record of scholarly achievement, and experience in
-
of the following areas: surface characterization using spectroscopy and electron microscopy; macroscale electrochemistry; Finite Element Modeling with COMSOL Multiphysics; and an appreciation
-
Science, Computer Science, Applied Mathematics, Engineering and Physics. Additional Qualifications Expertise (or desire to work) in reduced order modeling, Causal inference and High Performance Computing
-
to open-source code, reproducible research workflows, and, where possible, public tools or model artifacts. Basic Qualifications ● PhD (completed or near completion) in one of the following or a closely