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health economics, and thrive in a dynamic research environment. Academic foundation – You have a Master’s degree in Statistics, Health-Economics, or equivalent. Relevant methods experience – You have
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. You have demonstrable experience with quantitative spatial research approaches and land use change analysis. You have experience with spatial analysis and data processing, preferably ArcGIS or QGIS You
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hands-on experience with molecular and experimental plant biology. You enjoy working on pioneering projects in a collaborative environment. Desirable skills: You have experience with advanced microscopy
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, surveys, meta-analyses, cost-benefit analysis you have some experience with chosen coding language, such as R or python you are enthusiastic about communicating research to academic and non-academic
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experiments in particle physics. Join Us! We are seeking a PhD candidate under the supervision of Jordy de Vries who focusses on precision calculation for low energy searches for beyond the Standard Model
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with conducting psychological experiments, including familiarity with experimental design, data collection, and ethical procedures Initial experience with data analysis, demonstrating the ability
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degree in AI, Computing Science, Mathematics, or Data Science. Strong coding, communication and organizational skills. Demonstrable experience with using machine learning packages (e.g., PyTorch
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organizational skills. Demonstrable experience with using machine learning packages (e.g., PyTorch). Completed academic courses in AI or machine learning. We consider it an advantage if you bring experience with
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statistical physics, applied probability, and population genetics; develop inference frameworks that link model predictions to genomic and epidemiological data; design controlled computational experiments
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experimental researchers working with cartilage microtissues and engineered biomaterials, e.g. for tuning and validating the computational models, and for informing new in vitro experiments. As a PhD candidate