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Details Title Open Postdoc Position – Rowland Institute School Faculty of Arts and Sciences Department/Area Optical microscopy Position Description The brain computes through distributed neural
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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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teaching evaluations. 4) Applicable for current graduate student and postdoc candidates: A letter from your advisor indicating their support for taking on this teaching position. Contact Information
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Service Award levels. More information on Harvard postdoc benefits can be found at: https://postdoc.hms.harvard.edu/. With this appointment, fellows are represented by the Harvard Academic Workers
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accordance with NIH Ruth L. Kirschstein National Research Service Award levels. More information on Harvard postdoc benefits can be found at: https://postdoc.hms.harvard.edu/guidelines-policies
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in accordance with NIH Ruth L. Kirschstein National Research Service Award levels. More information on Harvard postdoc benefits can be found at: https://postdoc.hms.harvard.edu/guidelines . With this
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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