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Computational Postdoctoral Fellow (Quantitative Modeling Group) - 106785 Division: BE-Biological Systems & Engineering Berkeley Lab’s (LBNL, https://www.lbl.gov/) Biological Systems and Engineering
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group’s research advances polymer network design to achieve high mechanical performance for the evolving demands of modern technologies. For more details, please view https://www.ntu.edu.sg/mse/research
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researchers, fostering a supportive, inclusive and high-performing research culture. Citizenship and Service: Build strategic partnerships across academia, industry and government, contribute to governance and
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supervision toward licensure Maintain clinical records in compliance with State and Federal regulatory agency requirements and program policies and procedures Perform other related duties as assigned Experience
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The National University of Singapore invites applications for a Research Fellow in the Human Potential Translational Research Programme (HPTRP), Yong Loo Lin School of Medicine. The HPTRP brings
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of 2026. The initial appointment is for one year, with possibility of extension for up to 2 more year(s), dependent upon funding and satisfactory performance. Assist the investigator team with overseeing
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dissemination through high-impact journal publications and conference presentations, and contribute to grant reporting and future funding proposals. Requirements PhD in Electrical Engineering, Computer
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About the Job You will lead and shape the research agenda of the lab, oversee R&D activities, and build and manage high-performing research teams. The role will define research directions, drive
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layers, and embedded passives to meet real-world performance and manufacturability requirements 3. Data Analysis & Reporting a. Manage the generation, preprocessing, and analysis of large-scale multi
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Center for Devices and Radiological Health (CDRH) | Silver Spring, Maryland | United States | about 4 hours ago
, effective, and high-quality medical devices and safe radiation-emitting products. CDRH provides consumers, patients, caregivers, and providers with understandable and accessible science-based information