137 parallel-computing-numerical-methods-"Prof" Fellowship positions at Harvard University
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experiments while also taking an active role overall Program strategy and alignment with the sponsor’s contractual requirements. Work closely with a collaborative multi-disciplinary team of scientists
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American Association for Cancer Research: Postdoctoral Fellowships Eligibility: varies by program Deadline Month: varies by program Description: These fellowships provide research training and
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National Science Foundation: Postdoctoral Fellowships Eligibility: Citizenship requirements vary. Deadline Month: Varies by program. Description: Programs provide either direct (i.e., from NSF
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computational (bioinformatics) tools on human and mouse tissues and using in vitro methods on human cells, to explore the consequences of genetics variants on human biology. This is a multi-year position
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: roof top terrace, fitness center, locker room, bike storage, and close proximity to numerous restaurants and cultural attractions. Why you’ll like working with us: At the Wyss Institute, you’re a member
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the Weingarten lab at Harvard Medical School in Boston Massachusetts. Our laboratory works at the intersection of virology, synthetic biology, immunology, and bioinformatics to bioengineer high throughput methods
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Harvard Office of Technology Development (OTD): Business Development Fellowship Deadline Month: January Description: This year-long program provides current Harvard graduate students and
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learning algorithms. We combine statistical methods with online reinforcement learning algorithms to develop reinforcement learning algorithms and inferential tools. The successful applicant will be expected
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research tasks and projects, making use of selected methodologies (longitudinal designs, moderation and mediation, causal inference), library research (Pubmed searches, systemic review methods), and
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causal identification methods. There are no teaching requirements for these open positions. Basic Qualifications: A Ph.D. or equivalent degree in computer science, statistics, economics, management science