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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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applying those methods to important scientific and technical problems. Appointment Terms Fellows will conduct research under the direction of a Kempner Institute investigator. Fellows are appointed
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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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community standards, leveraging Python and shell scripting to automate builds, packaging, and CI/CD. You will contribute to methods, training, and publications that strengthen computational rigor across
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candidates with strong analytical and numerical skills, and backgrounds in physics, theoretical neuroscience, applied mathematics, computer science, engineering, or related fields. Experience in relevant
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continue for three years, contingent on performance and funding. Resources for research expenses including publication charges, related conference travel, workshops, and computing resources will be
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foundations in modern AI/ML and the ambition to develop new AI approaches for high-impact problems in cellular and protein computational biology. This role focuses on applying modern AI/ML methods to protein
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Details Title Postdoctoral Fellowship Position in Visual Computing at Harvard University School Harvard John A. Paulson School of Engineering and Applied Sciences Department/Area Computer Sciences
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applying modern AI/ML methods to protein and cellular biology, including protein structure prediction, protein–protein and small-molecule–protein docking, cell state prediction from large-scale
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learning; distributionally robust optimization; 2) Graph Neural Networks, Large Language Models (LLMs), and geometric deep learning; and 3) federated learning and privacy preserving computing. Basic