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-vulnerability model provides a more comprehensive framework for understanding IS occurrence, distinguishing three key components: (1) risk factors that drive the long-term development of atherosclerosis, (2
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, particularly sialic acids, influence and suppress immune responses against peritoneal metastases; test in patient material and in vivo models whether sialic acid inhibition reactivates the immune system; analyze
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Mathematics (Inverse Problems), Computer Science (Machine Learning, Computer Vision, Efficient Algorithms and High-Performance Computing), and Physics (Image Formation Modelling). Your project is part of
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in exciting scientific communities on innovation and technology assessment. The project will be supervised by Dr Matthijs Janssen and Prof Wouter Boon . Where to apply Website https
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» Modelling tools Researcher Profile First Stage Researcher (R1) Positions PhD Positions Country Netherlands Application Deadline 27 Feb 2026 - 12:30 (Europe/Amsterdam) Type of Contract To be defined Job Status
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Description In this project, you will contribute to the development of a multimodal preclinical imaging platform, which you will then apply longitudinally to study skeletal muscle changes in a mouse model of
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clinical diagnostics. Where to apply Website https://www.academictransfer.com/en/jobs/357934/phd-position-on-enriching-digit… Requirements Specific Requirements We are seeking a highly motivated researcher
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. The project is jointly supervised by Dr. Tarikere Niranjan (https://niranjangroup.weebly.com/prof-tarikere-t-niranjan.html ) and Dr. Emir Efendić (https://eefendic.com ) and examines how decision-makers in
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candidate in the exciting area of multiscale and multiphysics modelling of sustainable fibrous composites, with additional focus on uncertainty quantification and machine learning. Information The context
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models to analyze multimodal video data (facial expressions, tone, behavior, and speech) for dynamic wellbeing assessment. You will work with open-source datasets as well as video material from