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conditions corresponding to the natural geological environment to establish a model for the potential hydrogen resource in terms of volume and generation rate. Specifically, you will be responsible
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develops predictive, multi-scale computational frameworks to guide sustainable microbial food production. By coupling data science with mechanistic models, this collaboration between universities, research
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, digestion models, dietary modelling, and conducting consumer surveys will form part of the Doctoral Network’s tasks. The 12 PhD candidates will be based across seven different universities in Europe: four in
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. You are driven by scientific curiosity, enjoy working with complex multi-physics models, and are eager to advance probabilistic methods, machine learning tools, and simulation techniques. If you thrive
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, digestion models, dietary modelling, and conducting consumer surveys will form part of the Doctoral Network’s tasks. The 12 PhD candidates will be based across seven different universities in Europe: four in
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, and ambitious researcher committed to accelerating the green transition by advancing adaptive materials, predictive modelling, and autonomous maintenance solutions. You thrive on scientific discovery
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: Kinetic stability data collection for predictive bioprocess modelling of CYP enzymes PhD enrolment: Technical University of Denmark DC4: ML-guided evolution of peroxygenases for selective C-H