25 economic-regional-statistic Postdoctoral positions at Chalmers University of Technology
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benefiting from the ongoing digitalization of society. Our research emphasizes social, economic, and environmental sustainability. As a postdoc, you will become part of a dynamic team that offers a stimulating
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learning, AI, or statistical modeling. Proven ability to handle large and complex datasets, including preprocessing and integration. Strong programming skills (e.g., Python, R, MATLAB, or similar
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, applied mathematics, or a closely related field, awarded no more than three years prior to the application deadline*. Documented research experience in machine learning, AI, or statistical modeling. Proven
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applying methods from quantum field theory, computational physics, statistics, and applied mathematics. Within astroparticle physics, our focus spans from the theoretical modeling of systems and phenomena
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blue economy. About us The division of Food and Nutrition Science (FNS) is one of four research divisions at the Department of Life Sciences (LIFE). FNS addresses major societal challenges related
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and biomass producers. Results pave the way for increased circularity and diversification in the seafood industry, ultimately stimulating a sustainable blue economy. About us The division of Food and
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experiments that can support the future production of electrofuels and electrochemicals. You will be part of a collaborative research environment where advanced characterization techniques are combined with
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this role, you will focus on developing catalysts and carrying out detailed characterization experiments that can support the future production of electrofuels and electrochemicals. You will be part of a
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The Department of Technology Management and Economics seeks a highly motivated and ambitious postdoctoral researcher whose work bridges scholarly rigor with real-world impact at the nexus
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us The High-Energy part of the Theoretical Subatomic Physics group performs research into elementary particle physics from model building and Dark Matter to formal Quantum Field Theory