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Field
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Number: 16451 School: Harvard Medical School Position Description: We are seeking a highly motivated post-doc trainee to join Dr. Norbert Perrimon's group in the Program of Genetics at Harvard Medical
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Berkeley Lab’s (LBNL ) Biological Systems and Engineering (BSE ) Division has an opening for a Computational Postdoctoral Fellow to join the Quantitative Modeling Group led byHéctor García Martín
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. Certificates/Credentials/Licenses Computer Skills Academic and research software relevant to job duties (Linux operating system, Gaussian/ORCA, AMBER/OpenMM, coding skills in Python). Supervisory
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simulation software development. Investigate scientific or technological areas of interest under guidance of a Mentor. Learn program management processes and help the Government guide research investments
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University of British Columbia Department of Surgery | Northern British Columbia Fort Nelson, British Columbia | Canada | 2 months ago
biology; Translational immunology Treg biology Excellent organization skills, along with an outstanding level of accuracy and attention to detail. Computer experience required (word processing, spreadsheet
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scalable software and algorithms for genomic inference Collaborate with researchers across statistics, genetics, and computational biology Contribute to manuscripts, presentations, and open-source software
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managing diabetes using computer simulation models. Learning Objectives: You will learn: How to synthesize and translate empirical evidence on cost-effectiveness of interventions for the prevention and
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and will collaborate within a multidisciplinary research environment. The training program focuses on building technical expertise, methodological rigor, and an understanding of regulatory science
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) may also be considered. • Experience or strong interest in rechargeable battery research, particularly sodium or other metal-ion batteries. • Familiarity with computational materials science
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Demonstrated experience developing data-analysis pipelines, software tools, workflows or computational resources that are documented and usable by others Substantial experience in the analysis of high