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understand, explain and advance society and environment we live in. Your role Conduct research and prepare a doctoral thesis in metabolic network modelling and computational epigenomics Develop novel methods
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environmental factors. To address these challenges, we have developed a preclinical rat model to monitor structural and functional connectivity as well as neuroinflammation non-invasively over several weeks using
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the basics and the latest developments of machine learning, in particular large language models and other generative AI models Language Skills: Fluent written and verbal communication skills in English are
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personalized immunotherapies for cancer patients with brain metastasis. The TCI group works at the interface between immunology and cancer biology and combine the use of preclinical models of cancer and human
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the interface between immunology and cancer biology and combine the use of preclinical models of cancer and human samples with state-of-the-art technologies to profile the immune microenvironment of brain
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bring strong programming skills with languages like Fortran, C, R or Python. Prior experience in the field of process-based modeling, e.g., climate modeling, is an asset. For both projects, fluent
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, AN/sucrose and KNO₃/HTPB. The resulting datasets will be used to calibrate and validate multiscale, multiphysics constitutive models, linking microstructure to ignition sensitivity, detonation dynamics, and
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fascinated by electromagnetic modeling and numerical problem solving? Do you want to contribute to the development of state-of-the-art metrology for integrated-circuit production? Information Integrated
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attracting highly qualified talent. We look for researchers from diverse academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security
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for Bioengineering of Catalonia (IBEC) is looking for a Pre-doctoral Researcher to conduct her/his predoctoral training on advanced cancer in vitro models to study critical steps of the cancer immunity cycle. The aim