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application! Work assignments As a postdoctoral fellow, your main task will be to conduct cutting edge computational social science research. The research will be carried out within the context of the Swedish
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St. Jude is seeking outstanding candidates for postdoctoral fellowship positions in the Childhood Hematological Malignancies Training Program. This prestigious, NIH-sponsored T32 training program
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About the Role We are seeking a forward-thinking interdisciplinary postdoctoral researcher to join the recently established Oxford Consortium on Drugs for Drug-resistant TB (OxCoD4TB). This consortium pulls together expertise from all over the University, including in diagnostics, data science,...
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attitude toward high-quality research to work as a full-time Doctoral Researcher or Postdoctoral Researcher in Computational Structural/Solid Mechanics. The candidate's research activities will focus
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John Radcliffe Hospital, Oxford About the Role We are seeking a forward-thinking interdisciplinary postdoctoral researcher to join the recently established Oxford Consortium on Drugs for Drug-resistant TB (OxCoD4TB). This consortium pulls together expertise from all over the University,...
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Research Assistant Professor – Computational Organic Chemistry Chemistry - Pennsylvania-Pittsburgh - (25002825) Research Assistant Professor – Computational Organic Chemistry Job Description: A
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diverse academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular
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The Princeton Institute for International and Regional Studies (PIIRS) at Princeton University is pleased to announce the call for applications to the PIIRS Postdoctoral Fellowship Program for
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, Nonlinear and Complex Systems , quantum information/computation , Quantum Simulation , Statistical physics Appl Deadline: 2025/06/30 11:59PM (posted 2024/08/15) Position Description: Apply Position
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aims at addressing computational challenges associated with data acquisition and information extraction from complex sensors and sensor networks. Crucially, uncertainty management and quantification