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into a self-aware, autonomous scientific researcher. At TU/e we challenge you to take charge of your own learning process . An excellent technical infrastructure, on-campus children's day care and sports
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societal impact. Apply:Is opening 15 November 2026 The application procedure has changed. You must first submit a research synopsis; see ‘About the procedure’. The research proposal should be submitted in
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of equipment – which of course includes AI. Meanwhile we are pushing the limits of applied mathematics, for example mapping out disease processes using single cell data, and using mathematics to simulate
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, verification and procurement processes Experience in complex project schedule and risk management processes Relevant experience in the technical domain specific to the project Behavioural competencies Education
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of CO2 beyond CO to more reduced products; however, it suffers from limited stability, selectivity, and activity. In particular, selectively converting CO2 into methane through electrochemical processes
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decision-making and reinforcement learning Enhancing transparency and contestability of decision-making processes, taking a multimodal approach to reveal the reasoning behind complex AI-driven planning and
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to data quality Proactive and committed to data quality, troubleshooting, continuous improvement, and process optimizations. Comfortable working collaboratively in a fast-paced biotech environment. Fluent
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Amplifiers (SOAs) Conduct applied research to validate models through experiments and integrate them into Process Design Kits (PDKs) Information Develop compact, physics‑based models for optical amplifiers
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environment, and with excellent writing skills in English. You are passionate about science and interested in synaptic plasticity processes that drive memory processing. You like a challenge and are motivated
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vacancy or the selection procedure, please contact Yuguang Yang, Yuguang.Yang@tudelft.nl. Application procedure Are you interested in this vacancy? Please apply no later than 15 April 2026 via