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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 19 days ago
is designed for candidates who have completed their PhD within the last two years and have experience as postdocs or industry researchers. This position offers a 12-month term with potential
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develop and compare ex vivo model systems derived directly from patient tumor tissue and blood. These models will be evaluated in parallel with an upcoming clinical trial at our department testing
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Max Planck Institute for Astrophysics, Garching | Garching an der Alz, Bayern | Germany | 17 days ago
predictions Within these areas, we seek to fill one postdoctoral position intended for a promising young scientist who completed a PhD within the last six years. The term of employment is initially for two
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scales through component-based parallelism. The focus of the post-doc position is to design and implement this pipeline -- developing native reasoning for rich combinatorial constraints, creating tools
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are contributing to the High Energy cosmic-Radiation Detection (HERD) experiment, a next-generation detector for the Chinese Space Station. In parallel, we pursue R&D for future gamma-ray missions and play an active
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Max Planck Institute for Evolutionary Biology, Plön | Plon, Schleswig Holstein | Germany | 18 days ago
on several available Drosophila panels. In a parallel evolve and re-sequence (E&R) project, Drosophila populations will be experimentally evolved for larger/smaller embryo size. The postdoc will be responsible
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Profile: A Master`s degree and an excellent PhD degree in Biochemistry, Chemistry, or a related Molecular Science Proven Track Record in Machine Learning, Molecular Simulations, Chemoinformatics
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in international conferences and journals. Your profile The ideal applicant should possess a PhD in Mechanical Engineering or a closely related field. It is anticipated that applicants will bring
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Leader Requirements Essential & Desirable Knowledge, Skills and Experience: A PhD (or equivalent) in a relevant scientific discipline (e.g. Biology, Chemistry, Engineering, Computer Science) Strong track
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(ANR-25-CE54-1716) studies the Abavus family of glossaries, which constitute a lexicographical chain parallel to that formed by the Liber glossarum and its descendants. Despite its importance in