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. ● Experience working with large datasets and cloud computing environments. ● Excellent written and oral communication skills, with a track record of peer-reviewed publications commensurate with career
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and cloud computing environments. Solid background in statistical modeling and inference Excellent written and oral communication skills, with a track record of peer-reviewed publications commensurate
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developing code with a team through collaborative version control ● Experience working with large datasets and cloud computing environments. ● Solid background in statistical modeling and inference
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Bioinformatics, Systems Biology, Evolutionary Biology, Microbiology, Epidemiology, Biostatistics, Applied Math, or related field. Strong coding/computing skills. Familiarity or strong interest in the
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. ● Experience using a shared computing environment and a scheduler such as SLURM or qsub preferred ● Experience designing computational methods and tools, including prior experience with
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: Joanna Aizenberg , Amy Smith Berylson Professor of Materials Science Petros Koumoutsakos , Herbert S. Winokur Jr. Professor of Computing in Science and Engineering Na Li , Winokur Family Professor
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tools is highly desirable. ● Packaging and environment management (Conda/venv); containers (Docker/Singularity); CI/CD; build systems (CMake); version control (Git). ● High-Performance Computing
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modeling brain circuits and neural activity from large-scale, multi-regional recordings Experience with large-scale datasets, distributed training, or high-performance computing environments Expertise in
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computing environments Interest in scientific applications of AI/ML, including the life sciences Interest in alternative architectures and systems-level approaches to AI Special Instructions Please
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cellular biology, including AlphaFold, RFDiffusion, CellCap, or related systems Experience with large-scale datasets, distributed training, or high-performance computing environments Expertise in