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Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Gorlitz, Sachsen | Germany | about 1 month ago
14 Mar 2026 Job Information Organisation/Company Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association Research Field Other Researcher Profile Recognised Researcher (R2) Established
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14 Mar 2026 Job Information Organisation/Company Luleå tekniska universitet Research Field Engineering Researcher Profile First Stage Researcher (R1) Application Deadline 11 May 2026 - 12:00 (UTC
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Description Job Summary: The We-Search Lab at Harvard University, directed by Ashwini Ashokkumar, is seeking a full-time Researcher Assistant with computational and data analysis skills for an exciting series
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values rest on credibility, trust and security. By having the courage to think freely and innovate, our actions together, large and small, contribute to a better world. We look forward to receiving your
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portfolio of hypothesis-generating screening studies, a methodological portfolio where we identify signals of interest from large real-world register data to guide the conduct of further studies according
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 21 days ago
Posting Information Posting Information Department Genetics - 423501 Posting Open Date 03/23/2026 Application Deadline 04/02/2026 Open Until Filled No Position Type Permanent Faculty Working Title
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 11 days ago
Posting Information Posting Information Department Genetics - 423501 Posting Open Date 03/23/2026 Application Deadline 04/06/2026 Open Until Filled No Position Type Permanent Faculty Working Title
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project will enhance the PhD thesis and improve future career prospects, The likely output and significance of the research, with an emphasis on big/exciting ideas. Preference will be given to second year
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the network, and every synapse is updated, on every epoch. Recent work has begun to challenge both halves of this independently. Progressive Data Dropout has shown that progressively reducing the training set
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crystalline materials contains the information on dynamic and static disorder. Relating this information to the underlying structural disorder is a challenging task, particularly in the case of single crystal