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Description: The Medical University of Vienna is recruiting for up to 24 fully funded PhD positions across 18 interdisciplinary PhD programs. Research spans translational basic and clinical science
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development. Skills MSc in Pharmacy or Medicinal Chemistry (or equivalent) and a PhD in a relevant discipline. Documented research experience and publication record in computational drug design. Demonstrated
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, computer science, medicine, pharmacology, and physics. ISAS is a member of the Leibniz Association and is publicly funded by the Federal Republic of Germany and its federal states. In the departments
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deployment Collaborate with interdisciplinary partners and optionally contribute to teaching and supervision Your profile: PhD or strong Master’s degree in computer science, data science, software engineering
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at https://mgm.ufl.edu and https://neurogenetics.med.ufl.edu . Applicants should hold a PhD, MD or MD/PhD in the biomedical sciences or a related field of study. The position offers outstanding research
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should hold a PhD, MD or MD/PhD in the biomedical sciences or a related field of study. Applications including cover letter, CV, research statement, and contact information for three references
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bioinformatics communities, including in Cancer Research Communications (https://doi.org/10.1158/2767-9764.CRC-25-0030 ; presented and highlighted at the AACR Annual Meeting 2025), Science Advances (https
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PhD scholarship in synthesis and experimental studies of the phase behavior of ABC-miktoarm star ...
A PhD position affiliated with the project Packing Frustration in ABC Starblock Polymers is available. The PhD will primarily work with synthesis at DTU Chemistry. An ABC-miktoarm star block
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). We seek an outstanding, ambitious, and highly motivated candidate with a PhD degree in chemistry (or equivalent), preferably with expertise in physical chemistry, theoretical chemistry or computational
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of Statistics and Operations Research( https://isor.univie.ac.at/) , University of Vienna, is offering a PhD position in the area of Mathematical Statistics and Machine Learning, starting at the earliest possible