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Job Description Job Alerts Link Apply now Job Title: Research Fellow (Data Science - HRPC) Posting Start Date: 27/08/2025 Job Description The National University of Singapore (NUS) invites
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data. Your profile We are looking for a motivated researcher at the PhD student level. This theory project will comprise both analytical calculations as well as numerical simulations of classical spin
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Posting Details Position Details Title Postdoctoral Fellow in Biostatistics & Health Data Science Specific Title Appointment Type Postdoctoral Fellow Department IUSM - Biostatistics Campus IU School
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The University of Nevada, Las Vegas invites applications for Postdoctoral Scholar, Interdisciplinary Data Science, College of Engineering [R0144891]. *Revised* ROLE of the POSITION The Howard R
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Staff - Non Union Job Category Non Union Technicians and Research Assistants Job Profile Non Union Hourly - Research Assistant /Technician 2 Job Title CLSA Data Collection Site- Research Assistant 2
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for a ... University Assistant (Post-Doc) for Astronomical Data Flow Systems 53 Faculty of Earth Sciences, Geography and Astronomy Startdate: 15.03.2026 | Working hours: 40 | Collective bargaining
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Postdoc in Generative Machine Learning for Biomedical Data | Human Technopole, Milan Build the science that shapes the future of human health. Application closing date: 21.02.2026 Join a place where
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Center for Drug Evaluation and Research (CDER) | Silver Spring, Maryland | United States | 20 days ago
electrophysiology to assess mechanisms of drug effects on cardiac and neuronal ion channels critical for safety evaluation. Additionally, the research will include advanced statistical modeling for data analysis and
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21 Mar 2026 Job Information Organisation/Company CNRS Department Institut de biologie de l'Ecole Normale Supérieure Research Field Mathematics Researcher Profile First Stage Researcher (R1
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advanced computing, optimization, and data analytics technologies. The postdoctoral researcher will work with a team of researchers on solving challenging problems using optimization, stochastic models