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at the interface of machine learning, statistics, and live-cell biology. The position is co-supervised by Prof. Olivier Pertz (Cell Biology) and Prof. David Ginsbourger (Statistics), and the student will be equally
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processing. The position is within the Cosys-Lab research group, under supervision of prof. Jan Steckel and prof. Walter Daems. Position You will work actively on the preparation and defence of a PhD thesis
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practical solutions for safer participation. Projects may be supervised or co-supervised by experts from Engineering Science and the Medical Sciences Division. Potential Supervisors: Prof. Thomas Okell, Prof
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, full-time PhD position at Amsterdam UMC, location VUmc, within the Department of Psychiatry and the Amsterdam Neuroscience research institute. You will be supervised by prof. dr. O.A. van den Heuvel
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REQUIREMENTS: Master’s degree in Physics, Biomedical Imaging, or a related field Strong interest in magnetic resonance, biomedical imaging and biophysical modelling Programming skills (C++, Matlab, Python
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for scalable, data-rich design and operation frameworks within diverse building contexts. For project-specific enquiries please e-mail Prof. Dongfang Liang, dl359@cam.ac.uk . For general enquiries, please email
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programming skills (e.g., Python, MATLAB) would be desirable but are not essential. How to apply Interested applicants should contact Prof Tom Coulthard (T.Coulthard@mmu.ac.uk ) for an informal discussion
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with bioprocess modelling and simulation tools (e.g., Aspen Plus, MATLAB, or Python), TEA, and LCA. Strong data analysis, problem-solving, and teamwork skills. Commitment to sustainability and research
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bring technical affinity and interest in improving experimental setups, along with basic programming or data-analysis skills (e.g., Python, MATLAB, or R); You have strong communication skills in English
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supervisor for this PhD position is Dr. Järvi Järveoja and co-supervisors are Assoc. Prof. Therese Löfroth och Assoc. Prof. Joachim Strengbom. During the project, the doctoral candidate will collaborate with