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research revolves around the following key objectives: Finding analytic expressions for families of numerical Hamiltonians that model magnetic topological semimetals. Classifying such Hamiltonians in terms
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-learning to track vehicles, cyclists, and pedestrians without capturing or leaking personal data, ensuring full GDPR compliance. Beyond mobility, Technolution is also active in the fields of energy, high
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an excellent education and/or research track record proven by relevant experience, publications, etc. The applicant is expected to have: A MSc or equivalent degree in combined Computer Science and Mathematics
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a very motivated university graduate who is a top performer among his/her peers and has an excellent education and/or research track record proven by relevant experience, publications, etc
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tailored multi-objective evolutionary algorithms for shape-optimisation problems. Key responsibilities Assist in relevant teaching activities; Perform PhD research on one of the above topics and publish in
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with a strong track record in scientific exploration who is excited about our research. You should have: An MSc or equivalent degree in Neuroscience, Psychology, Data Science, or a related field. A keen
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materials in the steel industry. Using Dynamic MFA with alloy-level tracking, it quantifies flows and stocks of elements such as copper, chromium, nickel, molybdenum, vanadium, and niobium. The research
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critical materials in the steel industry. Using Dynamic MFA with alloy-level tracking, it quantifies flows and stocks of elements such as copper, chromium, nickel, molybdenum, vanadium, and niobium