799 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "The University of Gothenburg" positions at Harvard University in United States
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Department of Molecular and Cellular Biology, Harvard University https://projects.iq.harvard.edu/bellonolab Explore molecular mechanisms underlying unique adaptations and behaviors. Fellows have freedom to ask
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Benefits This position is salaried and benefits eligible. Information regarding postdoctoral fellow salary, which is determined by the number of years post PhD, and benefits can be found at https
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projects, as well as responding to emergencies. Possesses the ability to make sound and immediate decisions and solve problems, including thoroughly gathering information to inform problem-solving. Strong
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with External Relations to cultivate and steward donor relationships and secure collection-building opportunities. Technology & Innovation: Advance digital access, data preservation, and the use
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’ feedback Coordinate HKS leadership engagement and CPL touchpoints Collaborate with the CPL External Engagement team and ARRD to support donor engagement, including providing information for reporting. Manage
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the field and potential for significant contributions to the department, University, and wider scholarly community. Special Instructions Please submit the following materials through the ARIeS portal (https
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. Relevant knife skills. Previous experience working in a University environment preferred. Additional Information Standard Hours/Schedule: 32 hours per week, Sunday - Saturday Flexible Schedule, 6.4 hours per
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commitment to teaching is desired. Special Instructions Please submit the following materials through the ARIeS portal (https://academicpositions.harvard.edu ). Candidates are encouraged to apply by February
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. Relevant knife skills. Previous experience working in a University environment preferred. Additional Information Standard Hours/Schedule: 35 hours per week, Sunday - Saturday Flexible Schedule, 7 hours per
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Details Title Postdoctoral Fellow in On-Premise Computing for Autonomous Vehicles (Computer Architecture, Machine Learning and Runtime Systems) School Harvard John A. Paulson School of Engineering