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forecasting capacity. What you’ll do Together with the PI, you will provide scientific leadership for QUASI’s observational backbone and take responsibility for the design, operation and analysis of the multi
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with design partner Studio Bertels to translate your findings into public showcases and policy tools. We are looking for a researcher who is comfortable with advanced data analysis and eager to apply
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analysis (EE-IOA) and HTA principles; actionable insights into the environmental impact of two care pathways: fibroid treatment and kidney failure care, directly relevant for policy, HTA and clinical
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networks, risk analysis or uncertainty quantification (preferred). Knowledge of data science in general as well as practical experience with conducting data science analyses with good programming skills
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and analysis pipelines are underway. Working closely with the principal investigator and collaborators, you will complete the main analyses, stress-test robustness, and contribute to the writing
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(“overparameterized”) machine learning models, like probabilistic graphical models, deep neural networks, diffusion models, transformers, e.g. large language models, etc. SLT is based on the geometrical understanding
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to advance the resiliency and reliability of beyond-5G/6G networks. The candidate is expected to work on the European project PHRESH (https://itea4.org/index.php/project/phresh.html ) and the Dutch National
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. This includes experimental work with the clocks, such as debugging and data taking, designing and constructing upgrades to the machines, data analysis, literature research, article writing, and contributing
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Medicine, Maastricht University in the Netherlands to work on a European Research Council - Consolidator grant project NEPHRON (Nurturing Environment - BioPrinting Human Renal Organ Networks). Postdoc
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contribute to the research project “NEPTARGOS: Nautical Empowerment for Proactive Threat Analysis and Resilience with Guardian Oversight Systems”. NEPTARGOS aims to enhance cyber risk management of the North