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genetic effectors in regulating hematologic malignancies. There are two fully funded postdoctoral fellowships available to investigate the roles of these critical metabolites and their genetic effectors in
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supporting documentation, are eligible to apply for this scholarship: A PhD in Medicine or Biomedicine obtained within the three years prior to the date of submission of the scholarship application
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fellow to join our studies on the genetic basis of human evolution, with a focus on the evolution of the human brain. Candidates with a strong track record in any biological field are welcome to apply
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21 Jul 2026 Job Information Organisation/Company INESC ID Research Field Engineering » Computer engineering Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application
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the following terms: 1. Scientific Area: Education 2. Admission requirements: Hold a Master’s degree in Sciences of Education or in a related field. Be enrolled, or meet the conditions to enrol in, a PhD
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translation, translational regulation, RNA therapeutics, non-canonical open reading frames, microprotein biology and genomics with a focus on cancer and/or cancer genetics. • Develop fluency with -omics
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The University of Texas MD Anderson Cancer Center | Houston, Texas | United States | about 1 month ago
Cancer Genomics and Evolution Laboratory, Prof. Dr. Peter Van Loo, Department of Genetics We seek talented and motivated postdocs in computational biology to join the Cancer Genomics and Evolution
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Number: 16451 School: Harvard Medical School Position Description: We are seeking a highly motivated post-doc trainee to join Dr. Norbert Perrimon's group in the Program of Genetics at Harvard Medical
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analysis, and mouse genetics. We are looking for highly qualified and motivated individuals with a PhD and/or M.D. degree in neuroscience or closely related fields. We welcome applicants from diverse
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Research Center for Molecular Medicine (CeMM), ÖAW | Graz 12 Bez Andritz, Steiermark | Austria | 3 months ago
intelligence and machine learning to decode interaction archetypes of membrane proteins and predict the effect of genetic variants. While the Superti-Furga Lab will be based in Graz, regular travel to Vienna