73 programming-"https:"-"FEMTO-ST"-"UCL" "https:" "https:" "https:" "https:" "https:" "Dr" positions at Utrecht University in Netherlands
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. The PhD candidate will be based in the Molecular Epidemiology and Data Science Group, led by Dr. Natalia Vilor-Tejedor, and will collaborate with researchers in epidemiology, neuroscience, data science, and
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your own line of research, it would be of advantage to be interested in facilitating transnational access to our state-of-the-art laboratories for which we collaborate in two European programs. You will
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mobilisation; producing academic publications and practitioner-oriented brochures. Supervisors: Promotor: Prof Dr Flor Avelino (Utrecht University) Co-promotor: Dr Jonas Colen Ladeia Torrens (Utrecht
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these signals with their transcriptional programs. You will use a variety of techniques and tools, including microscopy and fluorescent imaging techniques, transcriptomics, metabolite profiling and high
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meets multiple of the following criteria: a Master’s degree in computing science, information science, or a closely related field; strong programming skills for implementing and testing computational
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ensure the long-term resilience of coastal and urban infrastructure. Your development A personalized training programme will be established, tailored to your training needs and career objectives
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with numerical modelling, preferably glacier modelling; strong programming skills (e.g., Python, MATLAB, Fortran); experience with processing large scale datasets from remote sensing products and models
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group (Department of Clinical Sciences, CS) and the Clinical Infectiology group (Department of Biomolecular Health Sciences, BHS). It builds on previous work by Dr Aldert Zomer (BHS), Dr Mathijs Theelen
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be supervised by Prof. Dr Koen Frenken, Dr Iris Wanzenböck and Dr Sanne Akerboom. This PhD project is part of a large consortium investigating conditions and measures contributing to the social
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Dr. Guillaume Piton, INRAE), Switzerland (with Dr. Brian McArdell, WSL), and Italy (with Dr. Roland Kaitna, BOKU Vienna). You will use the collected data to identify fracture patterns that control