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                , power system analysis, as well as experience in modelling, simulation, or experimental work. Ability to work independently, in a structured and goal-oriented manner, both individually and in collaboration 
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                : To evaluate the role of serum proteins in influencing antibiotic activity using the Minimum Biofilm Eradication Concentration (MBEC) model on titanium pegs, simulate biofilm-host interactions through a flow 
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                , technology, animal health, and epidemiology. It consists of around 20 members, including PhD students, postdocs, senior researchers, a senior lecturer, and a professor, providing a stimulating and supportive 
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                and accepted to the PhD program at Stockholm University. Project description Project title: “Deep learning modeling of spatial biology data for expression profile-based drug repurposing”. A new exciting 
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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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                modeling and simulation, as well as patient-focused and policy-related studies, ranging from individual drug optimization to pharmaceutical policy analysis. More about our research: https://www.uu.se 
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                , postdocs, senior researchers, a senior lecturer, and a professor, providing a stimulating and supportive setting for doctoral studies. Read more about our benefits and what it is like to work at SLU at https 
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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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                . Work duties The main task is to conduct research. Teaching may also be included in the duties. Work in this field includes the design, modelling, realization, and characterization of nanophotonic 
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                of computation, and thus continuous aspects, into rule-based models of graph transformation in order to combine the individual strengths of both paradigms. Rule-based models are transparent and explainable