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(link internet page Chairgroup), and member of the PANTROP and REFOREST-IT! team, which is led by Prof. Lourens Poorter ( prof.dr.ir. L (Lourens) Poorter - WUR ) You will be co-supervised by Prof. Miguel
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Instituto Português de Oncologia do Porto Francisco Gentil (IPO Porto) | Portugal | about 12 hours ago
18 Dec 2025 Job Information Organisation/Company Instituto Português de Oncologia do Porto Francisco Gentil (IPO Porto) Department Centro de Investigação do IPO Porto Research Field Medical sciences
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to apply. People with disabilities are given preference if they have the same qualifications. Contact: For further information, please contact Prof. Dr. Gerd Baumgarten(baumgarten@iap-kborn.de) or inform
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(Grant No: 101227148) and coordinated by the University of Bergen, Norway. Supervisors: Prof. Danny O’Hare and Prof. Tony Cass Location: Imperial College London, UK Duration: 3 years Start date: August
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applying General information: Contact For questions about the project, please contact the primary supervisor Prof. Dimitra Vasiliadis: dimitra.vas@gmail.com For questions about the ENDOTRAIN programme
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: Off-Site Construction for Resilient Healthcare Infrastructure and Agile Healthcare Supply Chain Performance Director of Studies: Prof Esra Kurul Supervisors: Dr Roshani Palliyaguru, Dr Kalpani
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scientific machine learning-based strategies for the discovery of self-similarity laws, use of quantised local reduced order models, and real data assimilation. You will be assimilated, jointly
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fostering long-term career development. Application procedure For more information please contact Prof. dr. Alex van Vliet, tel.: +32 16 37 39 48, mail: alex.vanvliet@kuleuven.be. You can apply for this job
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degree programmes at DTU. For information about our enrolment requirements and the general planning of the PhD study programme, please see DTU's rules for the PhD education . Assessment The assessment
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Language Processing Experience with multimodal learning (integration of time-series, clinical, and textual data) Strong programming skills (Python, PyTorch/TensorFlow) Demonstrated coding portfolio: GitHub link