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encouraged (e.g. South America, Asia or Africa). The PhD process will be accompanied by integration into TUM’s School of Life Sciences or School of Management and participation in the related Graduate School
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Applications are invited for a fully-funded four-year PhD position that will explore how rural youth (ages 18–30) use both online and offline methods to make sense of sustainable development and the
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Max Planck Institute for Extraterrestrial Physics, Garching | Garching an der Alz, Bayern | Germany | 20 days ago
Physics invites applications from talented, ambitious graduating MSc students for a PhD position on Exploring Supernova Remnants in eROSITA and Multiwavelength Data (m/f/d) Job Code: 16/2025 The PhD project
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31st August 2025 Languages English English English We are looking for a PhD Candidate in Genetic Epidemiology Apply for this job See advertisement This is NTNU NTNU is a broad-based university with
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17th September 2025 Languages English Norsk Bokmål English English Faculty of Health Sciences PhD Position in Personalized Cancer Treatment using Theranostic Radiotherapeutics Apply for this job See
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) Applications are invited for a three-year PhD studentship. The studentship will start on1st Jan, 2026. Project Description Glioblastoma (GBM) is the most aggressive and treatment-resistant form of brain cancer
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relevant monitoring activities organised each year.Candidates can review the admission process on the website: https://icn2.cat/en/careers/phd-programme/who-when-howHow to apply:All applications must be done
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University of Basel, Condensed Matter Theory and Quantum Computing Position ID: University of Basel -Condensed Matter Theory and Quantum Computing -PHD [#21542] Position Title: Position Type
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position, please contact Prof. Andreas Erbe, phone +47 73594048, e-mail: andreas.erbe@ntnu.no or phd-corrosion@material.ntnu.no . If you have any questions about the recruitment process, please contact HR
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University explores synergies between nonlinear control theory and physics informed machine learning to provide formal guarantees on performance, safety, and robustness of robotic and learning-enabled systems