-
performance computing, cloud computing, machine learning methods, and or statistical genetics. The ideal candidate will also demonstrate: Drive and initiative, and track record of impactful research outcomes
-
algorithms for the scanner using machine learning and deep learning. Qualifications: The position requires some background in machine learning, optimization, and deep learning. Some familiarity with MR physics
-
strong background in machine learning and a keen interest in neurobiology. Previous experience in topics such as gene-regulatory networks, xQTL analysis (splicing, expression, chromatin accessibility
-
in candidates with interest in algorithms, blockchains and cryptocurrency, causal inference, game theory, learning, machine learning, market design, and networks, but all subjects at the intersection
-
professional deliverables ● Experience with causal inference, machine learning, and artificial intelligence is desirable ● Experience with clinical, EHR, or biobank data analyses is desirable