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@ddrc.org) 3rd Supervisor: Dr Elsa Fouragnan (elsa.fouragnan@plymouth.ac.uk) 4th Supervisor: Dr Helen McKenna (helen.mckenna@plymouth.ac.uk) Applications are invited for a fully funded 3-year PhD studentship
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above 'Apply' button), to create your account, and use the link sent by email to start the application process. During the application process, please select ‘PhD in Law’. *Important notes* Please quote
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motivated PhD candidate to investigate the molecular mechanism of how selective autophagy targets cargo in the context of toxic aggregate or organelle buildup. Our lab has a strong track record in uncovering
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Apply online now: https://karriere.klinikum.uni-heidelberg.de/index.php?ac=application&jobad_id=26749 PhD position in biomedical research (m/w/d) Stellenanzeige merken Stellenanzeige teilen wanted
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Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Dresden, Sachsen | Germany | about 1 month ago
innovative radiopharmaceuticals and novel tools for functional characterization, improved imaging and personalized treatment of tumors. The Department of Positron Emission Tomography is looking for a PhD
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Computational Imaging Research Lab (CIR), Department of Biomedical Imaging and Image-guided Therapy | Austria | about 1 month ago
offered a position later. Additional comments Application Process All applications must be submitted via the online portal no later than 30 November 2025: https://oc10.meduniwien.ac.at/open-phd-positions
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Excellent communication and writing skills in English. Knowledge of basic physics of radiation and nuclear decay Desirable Qualifications: Experience in the operation of medical imaging systems, such as PET
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-related transport phenomena all require precise knowledge of fluid flow dynamics. Advanced experimental methods such as Particle Image Velocimetry (PIV) and 3D Lagrangian Particle Tracking (LPT) provide
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Fully funded 4-year PhD studentship in Computational Chemistry Supervisor: Dr Zsuzsanna Koczor-Benda, UKRI Future Leaders Fellow (FLF) We are looking for a highly motivated and talented PhD
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methodology to generate confidence in such decision, potentially reducing maintenance costs and down-time for offshore wind energy production. The images taken by each drone are loaded into the pre-processing