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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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Details Title HMS - Research Associate in SBGrid, Department of Biological Chemistry and Molecular Pharmacology School Harvard Medical School Department/Area *** Position Description We invite
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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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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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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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: 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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( https://www.hsph.harvard.edu/lin-lab/ ), Professor of Biostatistics and Professor of Statistics. The postdoctoral fellow will develop and apply statistical, machine learning (ML), and AI methods
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( https://www.hsph.harvard.edu/lin-lab/ ), Professor of Biostatistics and Professor of Statistics. The postdoctoral fellow will develop and apply statistical, machine learning (ML), and AI methods
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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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Computational Science and Engineering Laboratory at Harvard University invites applications for postdoctoral position at the interface of scientific Computing and Artificial Intelligence for