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/en/organisation/liu/ida You will be placed at the Human-Centred Systems division in the group of Knowledge Modelling and Cognitive Systems, as part of the Linköping University Semantic Web group
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application! Your work assignments We are looking for one PhD student working on generative AI/machine learning, with applications towards materials science. Generative machine learning models have emerged as a
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vivo trials with induced (in rodents) and spontaneous (in dogs and cats) animal models of diabetes – 10% b) Collection and processing of biological samples – 5% c) Conducting in vitro tests
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performance of numerical simulations – 10% VII. Technology transfer through collaboration with technological centers and/or companies – 5%. Only candidates who obtain a classification equal to or greater than
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macroscopic designs for soft-tissue healing. The project will be conducted using in vitro models of bacterial adhesion and fibroblast proliferation in collaboration with University of Gothenburg and in vitro
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hospitals, allowing continuous monitoring of its progression. Current diagnostic methods have numerous limitations – long waiting times for results and low specificity. The aim of this project is to address
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at CRAG (from basic science to applied research using plant experimental model systems, crops and farm animals) make extensive use of genomic technologies and large sets of genetic and genomic data (http
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of materials · production of dressings and validation tasks · presentation of results and their dissemination PhD student 2 tasks: · performing numerical simulations
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lepton flavour violation are powerful tools to advance our understanding and potentially discover hints of physics beyond the Standard Model. The LHCb experiment at CERN is uniquely equipped to study
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interdisciplinary collaboration within e.g. nutrition, chemistry, toxicology, microbiology, epidemiology, modelling, and technology. This is achieved through a strong academic environment of international top class