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) Country Hong Kong Application Deadline 18 Sep 2025 - 00:00 (UTC) Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is
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Job Description Join the Multi-omics Network Analytics Research Team as a Postdoc in Computational Biology at the Danish Technical University (DTU) Are you an experienced scientist with a passion
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evolution, molecular microbiology, synthetic communities, and computational biology. The project aims to pioneer a novel form of phage therapy by engineering prophages—phages integrated into bacterial genomes
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, we have four academic schools (Business; Engineering; Humanities and Social Sciences; and Science); student residential living; a range of research programs and outreach centers; and a highly
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Pipsa Saharinen’s research group at the Translational Cancer Medicine Research Program at the Faculty of Medicine, University of Helsinki and Wihuri Research Institute invites applications
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Successful candidate will join the Clinical and Translational Informatics, led by Dr. Venkata Satagopam, which focuses on bridging translational medicine and bioinformatics through innovative data
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Stanford University / SLAC National Accelerator Laboratory | Menlo Park, California | United States | 3 days ago
-QIS [#29764] Position Title: Position Location: Menlo Park, California 94025, United States of America [map ] Subject Area: Quantum Information Science Appl Deadline: 2025/08/31 11:59PM (posted 2025
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Postdoctoral Associate - Global Labor and Work, ILR Future of Work Program The Industrial and Labor Relations (ILR) School at Cornell University is seeking a Postdoctoral Associate to join the ILR Future of Work
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Organization U.S. Department of Energy (DOE) Reference Code DOE-Scholars-2025-NNSA How to Apply Click on Apply below to start your application. Description The DOE Scholars Program at the National
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models; 2. Statistical methods, analysis, and inference for large-scale computational simulator applications; 3. Uncertainty representation, quantification and propagation; and 4. Scalable data science