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Dynamics , Condensed Matter Theory , Cosmology , Crystallography , Dark Matter , Data analysis , EIC , Electron Hydrodynamics , electron-positron collisions , electron-proton collisions , Electronic Detector
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student to join our team and contribute to cutting-edge research in quantum computing, with a focus on quantum compilation. You will join the Theory of Computer Science group (TCS) at the Informatics
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academic researchers. The project will enable the PhD student to develop new theories about consumer behavior and/or psychology and test these theories utilizing quantitative research. Students define and
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The Business-Society Management department at the Rotterdam School of Management, Erasmus University, is seeking a highly motivated PhD candidate looking to study a topic in the area of sustainability and
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Theory Artificial Intelligence and its Mathematical Foundations Mathematical and Statistical Methods for Big Data Analytics Mechanism and Data Modeling with Integrated Applications Requirements: Under
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mathematical machine learning theory and explainable AI. (This point is about your motivation, not about the courses you have taken.) Programming skills: You should have very good programming skills in Python
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18 Oct 2025 Job Information Organisation/Company Vrije Universiteit Amsterdam (VU) Research Field Physics » Optics Physics » Quantum mechanics Researcher Profile First Stage Researcher (R1) Country
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6 Nov 2025 Job Information Organisation/Company Luleå tekniska universitet Research Field Engineering Researcher Profile First Stage Researcher (R1) Country Sweden Application Deadline 30 Nov 2025
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machine learning approaches to quantitatively analyze experimental data and predict emergent multicellular behaviors under varying mechanical and chemical environments. For more information about our lab
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Computational Imaging Research Lab (CIR), Department of Biomedical Imaging and Image-guided Therapy | Austria | 1 day ago
or equivalent) in Computer Science, Machine Learning or a related discipline. Strong foundation in machine learning / deep learning (theory + hands-on). Evidence may include a thesis, open-source project