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battery simulation and some experiments, analyse data, develop and validate diagnostic and prognostic models, and contribute to research using real-world battery datasets. You will collaborate closely with
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-level computational model of the human cell. The program is led by Jan Ellenberg, Director of SciLifeLab and Mathias Ulhen, Director of the Human Protein Atlas, together with a collaborative, multi
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-precision hardware without compromising simulation fidelity. Data-centric optimization: Designing and implementing communication schemes and data access strategies targeting post-exascale systems, e.g., using
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to represent and model expectations using formal methods, develop techniques that help a system reason about human expectations at runtime, and evaluate the contributions using simulations and experiments with
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energy system modeling and decision-making with focus on transport system solutions. It will create a high-resolution simulation environment capturing dynamics and interactions among EV users, charging
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years prior to the application deadline Hands-on experience from lab work related to sintering, powder metallurgy, and characterization techniques. Knowledge and experience in modelling techniques in
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, the research investigates how the inclusion of AI elements—such as LLMs challenges conventional architectural styles, architecture evaluation methods, and governance models, requiring new approaches
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experience in statistical modelling and/or machine learning for regression or distribution estimation, and in time-series or signal processing; proficiency in Python. Advantage: Hands-on field or experimental
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at SLU in Umeå. About the position We are looking for a postdoctoral researcher with a particular interest in forest landscape modelling. As part of a two-year postdoctoral project, you will use
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specific research questions: What salient elements in cognitive models represent family forest owners’ perceptions and judgement strategies about forest biodiversity on their ownerships? Do family forest