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Tranplantation and Regenerative Medicine Postdoc Appointment Term: 1-year term (Renewal is based on performance -- Max of a 5 years) Appointment Start Date: As Soon As Possible Group or Departmental Website: https
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: Skills and experience in numerical methods and programming (knowledge of FORTRAN or Python) Knowledge of molecular scattering theory and line shape models Excellent problem-solving and communication skills
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) Established Researcher (R3) Positions Postdoc Positions Application Deadline 10 Apr 2026 - 00:00 (Europe/Berlin) Country Germany Type of Contract Temporary Job Status Full-time Hours Per Week 40 Offer Starting
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 10 hours ago
modeling (such as Molecular Dynamics, virtual screening, free energy calculations and Deep Learning), successful experimental collaboration experiences and excellent communication skills are preferred
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Linköping Referensnummer IFM-2026-00054 Work assignments We are looking for a postdoc who is motivated not only by solving established problems, but by exploring new ways of formulating them
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Postdoc position (d/f/m) developing gene editing therapies for ANO5-related muscular dystrophy Work time full-time Start date 01.04.2026 Employment period limited Application deadline 25.03.2026
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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The Center for Molecular Bioengineering (B CUBE) (https://tu-dresden.de/cmcb
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is on advancing the state-of-the-art in generative modeling and applying these advances toward developing more capable biotechnologies, including design problems that go beyond the molecular scale. We
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laboratory collaborates closely with other institutions, including Arc Institute (https://arcinstitute.org/ (link is external) ). Required Qualifications: A Ph.D. in Biochemistry, Bioengineering, Molecular
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. - Conduct high-throughput serum proteomic analyses and integrate molecular datasets. - Validate candidate biomarkers in independent cohorts. WP3.2 – Integrated predictive modeling: - Develop integrative multi