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collaborations, we are a key force in the field. Our core competencies include in vitro ADME models, advanced in vivo methods, computational modeling and simulation, as well as patient-focused and policy-related
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twins, semantic modeling, secure data exchange, and reconfigurable production architectures. The research will also be carried out in LTU’s AIC³ Lab, an advanced test environment for future industrial
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intelligent, adaptive, and sustainable industrial systems. The work involves topics such as AI-assisted automation engineering, digital twins, semantic modeling, secure data exchange, and reconfigurable
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knowledge and model structure developed within phase 1 of the research program Mistra Food Futures (mistrafoodfutures.se) and include extensive collaboration with various researchers and external
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flow, fluid dynamics, and sustainable energy systems. The research focuses on developing new methods to study and model multiphase flows as key phenomena in energy and industrial processes. The work
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through a combination of registry-based epidemiological studies, in vitro modelling of biofilm behaviour, and in vivo investigations of antibiotic pharmacokinetics and efficacy. The project is part of
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biofilm-related infections in orthopaedic implants: from in vitro to in vivo models Join the prestigious Marie Skłodowska-Curie Actions Doctoral Network SHIELD (Strategies for Healing Implant-associated
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of implant surfaces functionalised with antimicrobial peptides (AMPs) using experimental infection models to assess the biocompatibility and therapeutic potential of AMP-coated titanium and polymers in
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presence in Jönköping. Qulification For this position you need to have: a master degree in relevant subject. proficiency in model-based systems engineering (MBSE) directed towards aerospace applications
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have some experience with scientific programming, in particular in Python, PyTorch or similar, in particular with respect to advanced data analysis or modelling operations. PhD students at the department