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Performance Computing are desirable. We particularly encourage applicants with expertise in Multi-scale Modeling, Evolutionary Computation, Diffusion models, Reinforcement Learning . The successful candidate
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applications for a Postdoctoral Fellow with Professor Pragya Sur. Professor Sur’s lab focuses on research in high-dimensional statistics, machine learning theory, or more broadly, mathematical foundations of
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associate to work with Professor Christopher Kuzawa at Harvard University. The postdoc will oversee analysis and write up of an extensive longitudinal dataset that has followed a large population in
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Details Title Stipendee Postdoc School Faculty of Arts and Sciences Department/Area Stem Cell and Regenerative Biology Department Position Description The Segel Lab invites applications for a
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-using models, retrieval systems, or related AI systems Experience with large-scale datasets, distributed training, or high-performance computing environments Interest in scientific applications of AI
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transitioning from graduate student to postdoc, and we always welcome individuals who are interested in applying their unique expertise to study interactions between cells, tissues, organs, and organisms
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-generation sequencing ( NGS ) data analysis, workflow automation, and cloud computing. This role will support research and production environments where reproducibility, scalability, and performance are
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systems. https://pai.seas.harvard.edu The postdoc is intended for one year but we anticipate there will be funding to potentially extend it to a second year. The postdoc will receive a generous salary as
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in Linux/Unix-based high-performance computing ( HPC ) environments and job schedulers (e.g., SLURM or qsub); experience with cloud computing platforms (e.g., AWS , GCP , Terra) is a plus
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Telescope project) and Michael Johnson (Astrophysicist, Harvard-Smithsonian CfA). Successful candidates will have access to our computing facilities and will have the opportunity to interact and work