10 associate-professor-computer-"https:"-"https:"-"https:"-"https:" PhD positions at Amsterdam UMC
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Rosewich in Tübingen, Germany. You will also have the opportunity to develop experience in patient advocacy, networking and research planning through a placement at the European Leukodystrophy Association
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organoids. Depending on your background and interests, the project can focus more on establishing and characterising these models or on the computational integration of multi-omics data. Both aspects will be
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: identifying factors associated with parental distress, coping and resilience, drawing on developmental and psychological research. Long-term outcomes: investigating how these factors relate to quality of life
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cell-based disease modelling, neuroscience and translational research. Through planned secondments, you will also gain experience with MLC animal models and computational chemistry approaches
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and apply them in clinical studies across different disease areas to generate novel biological insights. As part of the network-wide training programme, you will collaborate with leading international
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and apply them in clinical studies across different disease areas to generate novel biological insights. As part of the network-wide training programme, you will collaborate with leading international
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Vrije Universiteit Brussel (VUB) is the recruiting organisation for this position. You will be employed by the Molecular Imaging and Therapy (MITH) research group and embedded in the POLARIS consortium. Your academic supervision will be provided by Prof. Timo De Groof and Prof. Nick...
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. Throughout the PhD project, you will have opportunities to further develop your scientific and transferable skills through the POLARIS doctoral training programme.
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of the POLARIS training programme, you will undertake planned secondments that complement your research at the University of York. At Zantiks , you will gain hands-on experience with behavioural
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procedures. The project brings together cardiovascular imaging, generative AI, and computational modeling to develop probabilistic digital twins of coronary arteries. The goal is to create patient-specific