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About the role We have an exciting opportunity for a highly motivated Senior Postdoctoral Research in Computational Biology to join the Oxford Vaccine Group (OVG). Working within a pioneering
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distributed decision-making. Applicants must have a PhD in Electrical Engineering, Mechanical Engineering, Computer Engineering, Applied Mathematics, Mathematics, or a closely related discipline, and are within
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Aalto University is where science and art meet technology and business. We shape a sustainable future by making research breakthroughs in and across our disciplines, sparking the game changers
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industry partners to advance the lab's research goals. Qualifications: A Ph.D. in Computer Science, Engineering, or a related discipline, with a focus on security, privacy, or applied machine learning, and
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(UTC) Country Netherlands Type of Contract Temporary Job Status Not Applicable Hours Per Week 38.0 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job
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30 Sep 2026 Job Information Organisation/Company Högskolan i Skövde Research Field Computer science Researcher Profile Recognised Researcher (R2) Application Deadline 20 Oct 2026 - 12:00 (UTC
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19 Sep 2026 Job Information Organisation/Company Lunds universitet Department Lunds universitet Research Field Technology » Production technology Technology » Biotechnology Engineering » Chemical
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provide a letter of recommendation, if required for the specific position. For more details about the program (including further application instructions), please visit: https://www.mpg.de/en/max-planck
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of Chemical and Biological Engineering Posting Number R260133 Posting Link https://www.ubjobs.buffalo.edu/postings/64055 Employer Research Foundation Position Type RF Professional Job Type Full-Time Appointment
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Memorial Sloan Kettering Cancer Center | New York City, New York | United States | about 4 hours ago
Role Overview: We are seeking a highly motivated computational biology postdoctoral fellow to lead translational studies in single cell and spatial biology of gastric cancer immunology and evolution