189 algorithm-development "https:" "Simons Foundation" research jobs at Harvard University
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Simons Foundation: Postdoctoral Fellowships and Fellows-to-Faculty Award Eligibility: Applicants must be ready to apply for faculty positions. Deadline Month: Varies by program Description
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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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FAS Office of Postdoctoral Affairs: Postdoctoral Awards for Professional Development (PAPD) Deadline Month: This program is currently on pause. Description: These awards are designed to support the
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Details Title Postdoctoral Fellow in Historical Psychology & Cultural Evolution School Faculty of Arts and Sciences Department/Area Human Evolutionary Biology Position Description The Department
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the United States. Connections working at Harvard University More Jobs from This Employer https://main.hercjobs.org/jobs/21861377/postdoctoral-fellow-in-historical-psychology-cultural-evolution Return to Search
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research team. Key research areas include: Development of low-carbon materials and tunable thermal energy storage materials integrated with smart sensors and advanced algorithms Creation of Digital Twins
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Details Title Postdoctoral Fellow – Cellular Microenvironments / Vascularized Tissue Development. School Wyss Institute for Biologically Inspired Engineering Department/Area Position Description
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Details Title Postdoctoral Fellow in Marine Molluscan Phylogeny and Venom Evolution School Faculty of Arts and Sciences Department/Area Organismic and Evolutionary Biology Position Description
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models and how to leverage such structure for the design of efficient machine learning algorithms with provable guarantees. Research areas include Representation Learning, Machine learning and Optimization
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Genomics at Harvard Medical School Several positions are available in the Park Lab (https://compbio.hms.harvard.edu/ ). The aim of the laboratory is to develop and apply innovative computational methods