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research group funded by the Data-driven Life Science Fellows (DDLS) program. Led by Wei Ouyang, the group builds next-generation AI systems for cell and molecular biology. Data-driven Life Science Fellows
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Jetzt online bewerben: https://karriere.klinikum.uni-heidelberg.de/index.php?ac=application&jobad_id=28347 PhD/Postdoc position in computational biology to elucidate NR2F1 dosage dependent
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, writing manuscripts and presenting at scientific conferences Your profile Required qualifications include a PhD degree in computational biology or a related field. We are looking for a research-driven and
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Apply now Job no:535376 Work type:Faculty - Pro Tempore Location:Eugene, OR Categories:Instruction, Computer and Information Science, Data Science Department: CAS CIS Computer & Information Science
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23 Sep 2026 Job Information Organisation/Company Delft University of Technology (TU Delft) Research Field Computer science » Programming Engineering » Electrical engineering Engineering » Mechanical
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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 2 months ago
; understanding of the potential career trajectories of postdocs in science and engineering; familiarity with career services’ online technology/management systems; knowledge of career development theory and the
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18 Sep 2026 Job Information Organisation/Company KTH Royal Institute of Technology Research Field Computer science » Other Economics » Other Engineering » Control engineering Engineering » Systems
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CeMM - Research Center for Molecular Medicine of the Austrian Academy of Sciences | Austria | 2 months ago
International Postdoc Program - PreERC Postdoc Program (m/f/d) CeMM - Research Center for Molecular Medicine of the Austrian Academy of Sciences Vienna, Austria € 5,014.30 per month gross We are recruiting a
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of Computing and Information Science under the direction of Principal Investigator Rene Kizilcec. The NTO is a collaboration among Cornell University, Carnegie Mellon University, and the Massachusetts Institute
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Chemistry to conduct fundamental and applied research at the intersection of machine learning and computational chemistry. In this role, you will develop physics-informed, symmetry-aware models