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conditions, including charging protocols, temperature and mechanical loading, influence battery performance, degradation and lifetime. The work combines physics-based modelling with machine learning
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cutting-edge methods, models and technologies in environmental science, quaternary sciences, bedrock geology, paleontology, physical geography, biodiversity and ecosystem science, remote sensing, Geographic
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engineering Engineering » Mechanical engineering Engineering » Systems engineering Engineering » Other Environmental science » Other Mathematics » Applied mathematics Mathematics » Statistics Physics » Applied
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engineering Engineering » Other Physics » Thermodynamics Physics » Other Technology » Energy technology Technology » Transport technology Researcher Profile Recognised Researcher (R2) Application Deadline 31
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languages (for example, for hardware design or parallel programming) Array or tensor programming Applications to physical sciences, dimensional analysis, or climate impact modeling It is highly meritorious
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The Department of Applied Physics and Electronics is offering a postdoctoral scholarship with focus on quantitative phase imaging of lipids and nanoplastics using widefield mid-infrared
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10 Jul 2026 Job Information Organisation/Company KTH Royal Institute of Technology Research Field Engineering » Materials engineering Engineering » Mechanical engineering Engineering » Other Physics
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planning. Who we are looking for The following requirements are mandatory: A doctoral degree in computer science, artificial intelligence, applied mathematics, physics, electrical engineering, or a closely
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the textile field within and outside academia with the help of applied AI for analysis of sensor data and time series in textile production, with the goal of developing intelligent solutions for process
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that are difficult to mitigate. As battery systems grow in size and complexity, there is an increasing need for computationally efficient predictive tools capable of resolving the underlying physical and chemical