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represent different backgrounds, skills and views. We foster an inclusive culture, as our combined identities, attitudes and ambitions widen our perspective and make up our strengths. Job requirements We
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infrastructure, which includes nine large trench systems for the collection of subsurface flows. This unique replicated design across different landscapes and land uses now allows for a systematic study of SSF
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-twin concepts, and programming (e.g. Python, MATLAB, LabVIEW or similar engineering software) B.4 Strong interest in metrology B.5 Experience in working with experimental setups, laboratory equipment
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must have a solid background in mathematics or physics, and good programming skills (e.g. Python or MATLAB). You must meet the requirements for admission to the Faculty's PhD programme in Electronics and
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criteria Experience with laboratory development in power electronics would be desired. Scientific publications will be merited. Experience with programming tools (e.g., Python, Matlab, C/C++) will be merited
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have: An MSc degree in Biomechanical Engineering or a closely related discipline by the start date of the position (September 2026) Experience in scientific programming (e.g., Python, Matlab) Experience
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enthusiast (and realist). You love coding and have proven experience in e.g. Python, Matlab, JAVA, C#. You can present and communicate your ideas with AND without LLMs. You get excited about implementing your
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up to 2050. Quantifying the environmental impacts of primary and secondary steel production under different future scenarios, including climate change, energy and resource use, water consumption, waste
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traffic flow theory and simulation. You are a machine learning enthusiast (and realist). You love coding and have proven experience in e.g. Python, Matlab, JAVA, C#. You can present and communicate your
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system perform well. This PhD project aims to answer this question. You will develop a unified mathematical theory and framework to study and explain how different reservoir systems work and how to design