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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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Non-tenure-track/postdoctoral Graz, Austria Apply University of Graz, Austria Department of Mathematics and Scientific Computing Heinrichstrasse 36 8010 Graz Austria The address could not be found
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) and foundation models for biomedical research Electronic Health Record (EHR) analytics and clinical data integration Biomedical image analysis and quantitative microscopy High-performance computing
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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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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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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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including but not limited to quantum algorithms, quantum error correction, quantum computing architectures, quantum information, and quantum simulation of physical systems. Successful candidates are
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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