-
sciences or related fields). The successful candidate must have a background in bioinformatics for omics data analysis (e.g., (meta)genomics, (meta)transcriptomics, proteomics, and metabolomics data
-
Scientific Machine Learning. The successful candidate will develop and deploy state-of-the-art SciML algorithms in high-performance computational physics codes. We accept applications from all candidates with
-
research involving biological data analysis and modeling of biological systems. In particular, they will develop and apply algorithms to construct discrete dynamic models of signal transduction networks
-
occupant harm from exposure to indoor bioaerosols. Key Responsibilities Responsibilities include, but are not limited to: Developing and analyzing new HVAC control algorithms to balance energy efficiency and
-
of the following: quantum field theory, quantum information, out-of-equilibrium dynamics, theoretical cosmology, particle physics, gravity, or quantum algorithms. Candidates are expected to demonstrate
-
investigate AI/ML algorithms to deliver behavioral interventions at the moments of need and how those can/should be modified to account for personalized preferences. To accomplish this goal, we study behavior
-
the brain. We are particularly looking for a PhD level systems neuroscientist with expertise in animal behavior tracking using deep learning algorithms and its causal link with specific neural circuits