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will have a deep understanding of next-generation sequencing (NGS) data analysis, workflow automation, cloud computing, and cloud software engineering best practices. This role will support research and
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and continued availability of funding. Candidates who have tenure-track offers but would like to defer and do a one-year postdoc are also welcome to apply. Basic Qualifications: Ph.D. in Statistics
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-year postdoc are also welcome to apply. Basic Qualifications Ph.D. in Statistics, Mathematics, Computer Science or a directly related field Additional Qualifications The successful applicant will be
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). Practical experience with cloud computing platforms (e.g., AWS, GCP, Azure). Additional Qualifications Experience with multi-GPU model training and large-scale inference. Familiarity with modern AI
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: Computational methods development and consortium data management for the Human Virome Program, with the mandate to characterize viral (phage and eukaryotic) communities across the human body in health and disease
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will involve investigating the physiological and functional variation of plants using spectroscopy and will include greenhouse work, field work, plant phenotyping, computational analyses of hyperspectral
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Engineering Position Description The Materials Intelligence Research group of Prof. Boris Kozinsky at Harvard University is seeking researchers at the postdoc level to develop and apply first principles and
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); containers (Docker/Singularity); CI/CD; build systems (CMake); version control (Git). ● High-Performance Computing schedulers (e.g., Slurm); cloud familiarity. ● Bonus: one or more compiled/scientific
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high-achieving scholars from premier universities in the U.S. to do postdoctoral research at one of eight Israeli universities (Israeli University Postdoc Track) or spend part of their time at one
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negotiation, and technology lifecycle management. Systems, Infrastructure, and Security Provide executive oversight of HGSE’s systems and infrastructure, including cloud services, identity and access management