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are linked to research on composite hydrogen tanks, composite propellers for drones and finite element modelling of textile manufacturing. All research will be conducted with leading companies in
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factors that accelerate material deterioration (e.g., hydrogen embrittlement, corrosion). The primary tasks include developing advanced multiphysics frameworks (finite element/phase-field methods
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interactions, as well as establishing fluorescence lifetime imaging microscopy (FLIM) approaches and analysis pipelines to perform non-destructive monitoring of neuronal function, DAMs, and multiplexing
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experience with scientific computing, data analysis, machine learning and/or AI You have an interest in environmental sustainability and pharmaceutical production Considered a plus: You have experience with
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. The agreement contains elements such as: form of degree, authorship for publications and intellectual property, jury composition, place of defense, tuition fee, etc. 2. Language English at level B2 is required
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of contaminants is an asset; You have skills in statistical data analysis, and are keen on developing these skills further. Basic knowledge of R is an asset; You have experience in working with oligotrophic
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-catalysed coupling reactions for preparing interesting basic molecules for the pharmaceutical industry. The methodology's tolerance to functional groups will allow ‘late stage’ functionalisation to be
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international interdisciplinary research team focused on computer vision and surgical video analysis, we are looking for a motivated research assistant. This is a full-time, one-year position that is renewable
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analysis or machine learning (ideally, we will recruit one candidate with specific specialization in machine learning and one student with specific specialization in statistics and data analysis; familiarity
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data analysis and biomarker discovery • Collaborate with a multidisciplinary team of researchers and clinicians • Engage with the International PSC Study Group, a global research consortium • Work in