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Instituto de Ciência e Inovação em Engenharia Mecânica e Engenharia Industrial | Portugal | 3 months ago
-driven and physics-informed learning techniques Development of simulation-based optimization methodologies, including Bayesian optimization, derivative-free optimization, multi-objective optimization
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. The research may involve a combination of commercial process simulation tools and in-house model development for individual unit operations and integrated systems. Hybrid modeling approaches combining first
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BAM Bundesanstalt für Materialforschung und -prüfung | Berlin, Berlin | Germany | about 2 months ago
PhD student (m/f/d) in the field of mathematics, scientific computing, physics or an engineering discipline with a proven strong focus on numerical methods Berlin Division 8.4: Acoustic and
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mathematics that ultimately leads to computational methods for imaging. You have: a Master's degree in mathematics, applied mathematics, computational science, mathematical physics, or a closely related field
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30th September 2026 Languages English English English The Department of Computer Science has a vacancy for a PhD Candidate in Information Systems Apply for this job See advertisement This is NTNU
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to computational methods for imaging. You have: a Master's degree in mathematics, applied mathematics, computational science, mathematical physics, or a closely related field; a strong background in one or more of
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29 Aug 2026 Job Information Organisation/Company AMOLF Research Field Physics » Condensed matter properties Physics » Optics Researcher Profile First Stage Researcher (R1) Application Deadline 24
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. The EISLAB division at Luleå University of Technology conducts research in electronic systems design, sensor systems, cyber-physical systems, the Internet of Things and machine learning, and works on
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(Europe/Oslo) Country Norway Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position
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heterostructures for functional quantum devices. The candidate will receive a broad training on computational materials modelling and gain experience with cutting edge quantum transport simulation methods, conduct a