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: Improving Social Safety of PhD candidates Our goal: As junior researcher you will be part of a research project investigating the experiences of PhD candidates at Maastricht University in order to improve
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nearly completed) (research) Master’s degree in psychology or clinical psychology; Availability starting September 2026; Demonstrable experience or affinity with experimental research and clinical
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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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sensing, engineering, or a similar relevant field. Demonstrated experience in applied machine learning. A background or strong interest in probabilistic machine learning, causal inference, or time-series
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them into executable experimental workflows for technicians; guide the application of advanced technologies (such as spectral flow cytometry) ensuring robust panel design and data interpretation; apply
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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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, 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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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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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