30 programming-"https:"-"FEMTO-ST"-"UCL" "https:" "https:" "https:" "https:" "Dr" "P" PhD positions at Utrecht University in Netherlands
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the first year and increasing annually up to €3,881 in the fourth year, based on full-time employment (salary scale P under the Collective Labour Agreement for Dutch Universities (CAO NU)); 8% holiday pay and
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; Teaching (max. 10% of your time). You will work at the Department of Sociology in a well-integrated team of researchers. The supervisory team will consist of Prof. dr. Anne-Rigt Poortman and Dr. Anne Brons
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statistics issues. The PhD candidates will be supervised by Dr Angelo Moretti, Dr Camilla Salvatore and Prof. Peter Lugtig who are part of the world leading group of Data Quality within the Department
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hours and a gross monthly salary between € 3.059 and €3.881 in the case of full-time employment (salary scale P under the Collective Labour Agreement for Dutch Universities (CAO NU)); 8% holiday pay and
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the 1970s to the present. Your main duties and responsibilities include: developing an independent research plan based on the general framework of the PhD position and in alignment with the broader Vidi
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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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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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successful assessment in the first 18 months; a gross monthly salary starting at € 3,059 in the first year and increasing annually up to €3,881 in the fourth year, based on full-time employment (salary scale P
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) Master's degree in a socio-technical programme, such as: (Applied) Data Science, Econometrics, Artificial Intelligence, (Computational) Social Science, Human Computer Interaction. Experience with at least
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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