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Field
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: A PhD in Computer Science, Engineering, Mathematics, theoretical Physics or other degree programs from top universities involving at least one of the following topics: Machine Learning, AI, Dynamic
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to learn is essential. What You Bring We are seeking an experienced technician, ideally with a PhD or equivalent expertise, who: Has high proficiency in English (Dutch is not required). Has hands
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partners to reduce CO2 emissions in steel production using machine learning. You can find more information here . You will work on a theoretical and an applied project on data-enhanced physical reduced order
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who hold a recent PhD degree in chemistry or chemical engineering. The ideal candidate will thrive in a collaborative team environment and possess strong leadership skills to effectively guide a small
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Master’s programme offerings. The candidate will be expected to teach across several programmes in the Institute, notably the Master’s programme Crisis and Security Management, the Bachelor programme
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Netherlands Application Deadline 2 Oct 2025 - 21:59 (UTC) Type of Contract Temporary Job Status Not Applicable Hours Per Week 40.0 Is the job funded through the EU Research Framework Programme? Not funded by a
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the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Port-city areas have stated ambitious goals
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light/heating modules, and selection and sorting routines. Guided by machine learning, we will perform directed evolution experiments where we optimize the synthetic genome that encodes for a biological
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: 12 September 2025 Apply now Are you a data scientist interested in designing and implementing process-informed machine learning and uncertainties quantification methods? Join us as a postdoc and work
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includes a vision on computational education); An updated CV, including a list of publications; A copy of your PhD thesis; A copy of your PhD degree; Contact details of two references, including names