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chain, ranging from synthesis, cell assembly, characterization, modeling to scaled-up manufacturing. The 2-year postdoctoral project Machine Learning-based Electro-Chemo-Mechanical Estimation and Control
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molecular biology. Data-driven Life Science Fellows program AlphaCell is a new SciLifeLab initiative aimed at building the first molecular-level computational model of the human cell. The program is led by
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in day-to-day work. Strong computational and numerical modelling skills, including finite element or multiphysics simulation and scientific programming. Awareness of diversity and equal treatment
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program AlphaCell is a new SciLifeLab initiative aimed at building the first molecular-level computational model of the human cell. The program is led by Jan Ellenberg (Director of SciLifeLab) and Mathias
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of the fellowship theme (laser spectroscopy, imaging, cell studies, modeling) motivate you most, and how you would shape the research direction during the first year. 2. A certified copy of the doctoral degree
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for implementation in finite element simulations of material failure. These models will be applied to study the ductile-to-brittle transition in HSLA steels. Qualifications Requirements A doctoral degree or an
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, solid state transformer, DC/DC converters, inverters, etc. Experience in modeling and stability analysis Experience in hardware development or real-time simulation. Awareness of diversity and equal
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to develop novel AI and machine-learning methods for accelerated materials discovery. The focus is on combining generative AI, active learning, first-principles simulations, and machine-learning potentials
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candidate should be able to show research experience in national and/or international projects on process modelling and simulations, including both steady state and dynamic modelling and techno-economic
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could develop the algorithms, models and software that: design and simulate self-assembling DNA nanostructures and molecular machines; turn artificial molecular networks into images — reconstructing where