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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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Description We are now looking to appoint a postdoc in Soft Electronics, placed at the Department of Science and Technology, Campus Norrköping Research area The Laboratory of Organic Electronics (LOE, https
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expertise in network resilience or survivability and in network optimization. Solid programming skills (for example in Python) and hands on experience with mathematical optimization and network modelling. A
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Familiarity with performance modeling, analysis and optimization for heterogeneous architectures. Experience with developing code for: molecular dynamics, computational fluid dynamics, or quantum chemistry
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Job related to staff position within a Research Infrastructure? No Offer Description Job description AI is rapidly becoming the primary author of the world's software. Today's models generate code at a
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, modeling to scaled-up manufacturing. The 2-year postdoctoral project on Precision Manufacturing for scalable production of Solid-State Batteries will be conducted within the Dept. Production Engineering. The
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of the developer, stress, expectations, …)?, and (iii) how can relevant factors be formally modelled and used to adapt the displayed analysis results? The successful applicant will be encouraged to collaborate with
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group has for many years conducted research on the ICF and its application in developmental, psychiatric and somatic conditions. The research aims to develop and evaluate ICF-based models, assessment
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partners to identify challenges, co-design interventions, and evaluate alternative work practices and management approaches. Contributing to the development of evidence-based frameworks, models, and toolkits
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, Strakosas et al., Science, 2023, https://doi.org/10.1126/science.adc9998 ). This position addresses the emerging opportunity to bridge conventional implantable devices with bio-integrated, in situ formed