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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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. Remote work for this position is not possible. Basic Qualifications Bachelor’s or master’s degree in computer science, statistics, electrical engineering, applied mathematics, computational biology
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work for this position is not possible. Basic Qualifications PhD in computer science, statistics, electrical engineering, applied mathematics, computational biology, or a related quantitative field
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, RFDiffusion, CellCap, or related systems. Experience with large-scale datasets, distributed training, or high-performance computing environments. Expertise in scientific applications of AI/ML in protein
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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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and collaboration, this position is based on campus, full-time, at Harvard University. Remote work for this position is not possible. Basic Qualifications PhD in computer science, statistics, electrical
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modeling brain circuits and neural activity from large-scale, multi-regional recordings Experience with large-scale datasets, distributed training, or high-performance computing environments Expertise in
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campus, full-time, at Harvard University. Remote work for this position is not possible. Basic Qualifications Bachelor’s or master’s degree in computer science, statistics, electrical engineering
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high-performance computing, automated workflows and reproducible data analysis; proficiency in Python or a comparable language is expected. A publication record appropriate to career stage that
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learning experiments on high-performance computing infrastructure, and evaluation using objective metrics and subjective listening tests. Your network and team You will be supervised by Assistant