24 phd-in-clinical-exercise-science-in-germany Postdoctoral positions at Brookhaven Lab
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The Advanced Electron Microscopy and Nanostructured Materials Group within the Division of Condensed Matter Physics and Materials Science at Brookhaven National Laboratory invites applications
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commencement of employment BNL policy requires that after obtaining a PhD, eligible candidates for research associate appointments may not exceed a combined total of 5 years of relevant work experience as a post
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for the characterization. Prepare research based manuscripts for publication Participate in the meetings related to the EFRC Required Knowledge, Skills, and Abilities: PhD in Condensed Matter Physics, Materials Science
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seminars and colloquia Participate in conferences and workshops, regular group meetings, and assist with notetaking Required Knowledge, Skills, and Abilities: PhD degree in meteorology, atmospheric sciences
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. Other Information: Candidates must have received a Ph.D. by the commencement of employment. This is a 2-year term appointment BNL policy requires that after obtaining a PhD, eligible candidates for
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experiments at NSLS-II. The selected candidate will work with a team of scientists from NSLS-II, CFN (Centers for Functional Nanomaterials), CSI (Computational Science Initiative), and IO (Instrumentation
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Apply Now Job ID JR101751Date posted 03/13/2025 Organizational Overview Researchers in the Biology Department at Brookhaven National Laboratory (BNL) seek to understand and fully describe
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Apply Now Job ID JR101731Date posted 03/04/2025 ORGANIZATIONAL OVERVIEW Researchers in the Biology Department at Brookhaven National Laboratory seek to unravel and fully describe the complexities
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applies platforms for state-of-the-art techniques for Accelerated Nanomaterial Discovery, integrating synthesis, advanced characterization, physical modeling, and computer science to iteratively explore a
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applies platforms for state-of-the-art techniques for Accelerated Nanomaterial Discovery, integrating synthesis, advanced characterization, physical modeling, and computer science to iteratively explore a