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and MIT . Research activities for the Pre-Doctoral Research Fellow include: Organizing and conducting interviews of stakeholders. Conducting background research. Collecting, preparing, and analyzing
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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
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commitment, the external finalist for this position will be required to complete a questionnaire regarding misconduct and Harvard will make parallel inquiries to his/her/their current and former employers
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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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-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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appoint one or more postdoctoral fellows beginning in November/December 2025. We are looking for candidates with interests in the use of atomic cavities and atomic arrays for quantum computing. Candidates
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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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backgrounds in statistics, computing, machine learning (ML), and genetics and genomics, with a focus on large-scale genetic, genomic, and phenotype data. The work will involve both methodological research
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backgrounds in statistics, computing, machine learning (ML), and genetics and genomics, with a focus on large-scale genetic, genomic, and phenotype data. The work will involve both methodological research
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candidates will have access to local computing facilities and will have the opportunity to interact and work with researchers in both the Harvard College Observatory ( HCO ) and the Smithsonian Astrophysical