22 econometric-regional-statistic Postdoctoral positions at Chalmers University of Technology
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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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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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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
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quantum field theory, while collaborating with leading experts worldwide. About us The High-Energy part of the Theoretical Subatomic Physics group performs research into elementary particle physics from
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be offfered the chance to deepen your expertise in battery cell fabrication and advance towards practical battery pack applications. You will be part of a collaborative environment, working closely
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to contribute your own research ideas and take part in supervising PhD students. About the research project The position, starting in the first half of 2026, will be based in the theory division of the Department
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with international partners in the FLAG-ERA project ThinQ. You will also have the opportunity to contribute your own research ideas and take part in supervising PhD students. About the research project