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and magnetic fields. A crucial aspect lies in the interpretation/modelling of the results. In this role, you will get to work with a variety of devices structures, with an emphasis on quantifying
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-driven, and can work both independently and within a team. Applicants should hold an MSc degree in Earth Sciences, Civil or Hydraulic Engineering, or a related discipline by the time the position starts
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Are you fascinated by electromagnetic modeling and numerical problem solving? Do you want to contribute to the development of state-of-the-art metrology for integrated-circuit production
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these models in real tissue context, revealing how spatially organized cell communities rewire under genetic perturbation. Key challenges Use and improve single-cell foundation models to predict SNP-driven
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, interdisciplinary TACIT project (Tailored AI-Driven Co-Creation for Inclusive Digital Transformation). This 5-year research position will contribute to cutting-edge work at the intersection of Human-Computer
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. Change. Impact! Faculty Mechanical Engineering From chip to ship. From machine to human being. From idea to solution. Driven by a deep-rooted desire to understand our environment and discover its
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, you will explore how data-driven models capturing the state-of-health and degradation can be integrated in the battery model. You will develop these machine learning-based proxies together with a
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multidisciplinary team and will collaborate closely with the insurance company Achmea. The successful applicant will join the Industrial Engineering and Business Information Systems (IEBIS) section of the High-tech
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7 Nov 2025 Job Information Organisation/Company Leiden University Research Field Chemistry » Inorganic chemistry Chemistry » Physical chemistry Engineering » Chemical engineering Engineering
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in providing data-driven insights, they often fail to use visualization as a powerful means of interpretation and communication. Most process mining tools provide static and linear representations