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and/or Python, is highly desirable. Experience of collecting neuroimaging and/or wearables data from infants/children is also desirable. The project will be based at the Institute for the Science of
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in the Division of Proteomics of Stem Cells and cancer, headed by Prof. Jeroen Krijgsveld. Our division develops innovative proteomic approaches to understand proteome regulation in cancer, both in
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/ The underlying project is under supervision of Prof. Dr. Peter Zaspel and Prof. Dr. Michael Günther. The team of Prof. Peter Zaspel is located at Bergische Universität Wuppertal. The international team focuses
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computer science, bioinformatics or related fields Solid understanding of machine and deep learning and relevant frameworks (e.g. Pytorch or Tensorflow, Keras, scikit-learn, OpenCV) Proficiency in Python, Linux and
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academic area such as applied mathematics, computer science, physics, biomedical or electrical engineering or similar disciplines. Good programming expertise (Matlab, C++, Python or equivalent) and
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Research Studentship in ‘Deformation and fracture of TRISO fuel particles’ 3.5-year DPhil studentship Supervisor: Prof Dong Liu, Prof Emilio Martinez-Paneda About the Project The proposed PhD
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here: https://edu.lu/wwpy7 Your role The successful candidate will join the SIGCOM Research Group, led by Prof. Symeon Chatzinotas, in collaboration with the Automation and Robotics Research Group, led
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additive manufacturing of lightweight structures to enable novel development of materials and process design. The PhD position will be supervised by Prof. Noomane Ben Khalifa (Hereon/Leuphana University
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-field methods) Multiscale mechanics and microstructure-property relationships Python/C++/Matlab-based simulation and data analysis Industry-facing research and technology transfer You will also benefit
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. The student will be supervised by Prof James Goulding (Nottingham University Business School) and Prof Tracey Thornley (University of Nottingham), Dr Alex Elliot, Dr Nicola Love and Prof Charles Beck (UKHSA