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. Documented programming skills to compute data driven simulation models and AI systems. Ability to develop monitoring and evaluation framework and collect data. Fluency in English, both written and spoken, as
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, knowledge-driven models and AI-based decision support can be integrated to support resilient and energy-aware manufacturing systems. Special emphasis will be placed on multi-objective optimization, learning
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Electrical Power Engineering This project focuses on the development of modeling, stability analysis, control strategies, and hardware solutions for converter-dominated power systems. Knowledge of diversity
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KTH Royal Institute of Technology, School of Engineering Sciences Job description The AICell Lab (https://aicell.io ) in the department of Applied Physics at KTH and Science for Life Laboratory is a
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gasification and pyrolysis Good programming skills in MATLAB, Aspen Plus, Modelica, etc Good knowledge of data driven methods for modelling and optimization Good knowledge of AI Experiences in scientific
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science, computational social science, or disruption modelling. About us The candidate will be based at the Division of Physical Resource Theory at Chalmers University of Technology in Gothenburg, Sweden
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to develop and utilize innovative, interpretable data-driven analysis methods to significantly advance our understanding of immune cell inter-relations within the cancer microenvironment. We will apply
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engineering, natural sciences, and social sciences, the division promotes challenge-driven, multidisciplinary research and offers courses linked to its research areas. Our group, STEAM – Sustainable Transport
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Join ABC Labs and KTH as an Industrial PhD Student to build data-driven models of human biology with multimodal health data — interdisciplinary impact, real-world healthcare. About the role We
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through comparative analyses of glia-mediated CNS repair and systematic in vivo perturbations. Link to the lab website: https://ki.se/en/cmb/enric-llorens-group Your mission We are seeking a driven and