42 programming-"https:"-"Inserm"-"FEMTO-ST" "https:" "https:" "https:" "https:" "https:" "P" "Dr" PhD positions at Utrecht University
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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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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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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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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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, and respectful research environment in the Department of Sociology, the interdisciplinary programme SOCION and the interuniversity research school ICS. This PhD project is part of the SOCION consortium
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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
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case of full-time employment (salary scale P under the Collective Labour Agreement for Dutch Universities (CAO NU)); 8% holiday pay and 8.3% year-end bonus; a pension scheme, partially paid parental
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- and transdisciplinary research community and training programme; professional command of both English and Dutch; demonstrated skills in quantitative and qualitative research methods, or—where experience