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Are you passionate about mathematical control theory and its applications? Are you eager to develop estimation and control algorithms for large-scale dynamical systems with the aim of making next
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physics-based theory with data-driven models, you will contribute to the next generation of predictive tools for materials design and discovery. You will also collaborate closely with experimental and
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technologies—and eager to accelerate their discovery with machine learning and materials theory? Are you passionate about linking atomistic processes to device performance through computer simulations? Are you
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to theory-building. They will also participate in weekly lab meetings and seminars, and will assist in teaching courses and advising thesis projects related to their research. The Visual Language Lab is the
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physics, microscopic modelling of different materials, and quantum information theory. Hybrid Super-Semiconducting Systems: You will contribute to pioneering research in hybrid super-semiconducting systems
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passionate about understanding how materials behave in harsh environments and willing to turn knowledge into smart, data-driven solutions for a sustainable blue economy? Within the European CORRASBlue project
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within the ERC-funded project “Coping with decline: Comparative social-historical analysis of depopulation and community welfare in Europe, 1950-2022 (DEPOP)”. Our focus in the project is on
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24 Sep 2025 Job Information Organisation/Company Delft University of Technology (TU Delft) Research Field Mathematics » Probability theory Physics » Statistical physics Researcher Profile Recognised
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of this Research Fellowship is to contribute to a deeper, theory-driven understanding of the global Earth observation (EO) market and industry, identifying its structural dynamics, competitive landscape and long
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into the theoretical aspects of solid-state quantum computing in spin qubits platforms. This includes gaining expertise in device physics, microscopic modelling of different materials, and quantum information theory