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Sciences (ACCESS ), working with a growing team of Post-doctoral Researchers, Research Assistants, and Aquarists/Technicians who are collaboratively investigating the biology of the uniquely adapted corals
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National Aeronautics and Space Administration (NASA) | Fields Landing, California | United States | about 7 hours ago
. Description: The NASA Earth eXchange (NEX) seeks a post-doctoral fellow to conduct biodiversity and ecological conservation research under NASA’s Earth Action framework and in collaboration with the California
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universities and colleges chapter 3 (Norwegian), Guidelines concerning appointment to post doctoral and research posts at UiO , and Regulations for the degree of Philosophiae Doctor (PhD) at the University
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Previous Job Job Title Post-Doctoral Associate - LDMX experiment (Mans) Next Job Apply for Job Job ID 368358 Location Twin Cities Job Family Academic Full/Part Time Full-Time Regular/Temporary
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of Life Sciences (NMBU) has a vacant 3-year (fixed-term) post-doctoral researcher position on ‘Just and Sustainable Transformations’. The position is open to highly motivated candidates wishing to pursue a
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tracking) Memory and/or trauma Coding skills (e.g., Matlab or Python) Strong interest in psychical and past-life memory research; prior experience not needed Established research and publication record
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applicant's availability. Postgraduate appointments are typically offered for up to one year in length for the initial appointment period. Post-Doctoral appointments are eligible for extensions up to five years
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Open Date 04/29/2025 Requisition Number PRN41757B Job Title Post Doc Res Assoc w/Ret Working Title Post Doc Res Assoc Job Grade A00 FLSA Code Administrative Patient Sensitive Job Code? No Standard Hours
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Open Date 04/29/2025 Requisition Number PRN41759B Job Title Post Doc Res Assoc w/Ret Working Title Post Doc Res Assoc w/Ret Job Grade A00 FLSA Code Administrative Patient Sensitive Job Code? No Standard
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of the post-doc is to study how innovations in AI, especially adaptation of Large Language Models (LLMs) architectures for time-series data, can be used in study of aging, health span, and longevity