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to teaching activities (1-2 course hours per week or equivalent through student supervision) For further information please contact Prof. Frank Scholzen ( ) Your profile A Master's degree in Engineering (Energy
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Embark on a thrilling, fully funded four-year PhD journey, with an enhanced stipend of £25,726 per year, and deliver new evidence on how nature-based solutions can reduce the occurrence and mitigate
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with Professors Serena Best and Ruth Cameron at the Cambridge Centre for Medical Materials in the Department of Materials Science and Metallurgy. The SHIELD Doctoral Network offers an exciting
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limited to, disease detection in chest radiographs and cancer detection in digital mammography. For further information on Prof Ben Glocker’s research, please see http://wp.doc.ic.ac.uk/bglocker/projects
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Status: Closed Applications open: 18/05/2025 Applications close: 9/06/2025 View printable version [.pdf] About this scholarship Description/Applicant information A PhD scholarship in
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for applying living therapeutic materias. The PhD thesis will be embedded in the Leibniz Science Campus on Living Therapeutic Materials (https://www.lsclifemat.de ), an interdisciplinary consortium aiming
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future generations of research and development professionals, data specialists, technology experts, inventors, and scientists for industry and society. We are now looking for a Doctoral Researcher in
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phdPrimary supervisor - Prof Yongping Bao High consumption of cruciferous vegetables can reduce the risk of cancer. This protection has been attributed to isothiocyanates (ITCs) in such vegetables
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health economic methodology. The doctoral research will be supervised by experts including Dr Stephen Bradley (senior clinical lecturer), Prof Nick Latimer (Professor of health economics), Dr Meena Rafiq
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Max Planck Institute for Multidisciplinary Sciences, Göttingen | Gottingen, Niedersachsen | Germany | about 2 months ago
Job Code: 18-25 Job Offer from June 04, 2025 The Department of Prof. Dr. Stefan W. Hell invites applications for a PhD position exploring AI approaches in optical science, molecular imaging and