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focus on organic semiconductors, polymer blends and composites. The group develops new plastic materials for wearable electronics and energy technologies, including organic solar cells, thermoelectrics
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biodiversity and how these effects vary with landscape context. Additionally, the interaction of forest composition at stand and landscape scales in shaping species communities is not well understood. Advances
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applications towards materials science. Generative machine learning models have emerged as a prominent approach to AI, with impressive performance in many application domains, including materials discovery
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in Building Technology spans over the areas of wood building technology, steel, concrete, and composite construction, building physics, historical structures, structural health monitoring, life cycle
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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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. Our research integrates expertise from machine learning, optimization, control theory, and network science, spanning diverse application domains such as energy systems, biomedical systems, material
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material can be electrochemically p- and n-type doped at the two electrodes, and that a light-emitting p-n junction, as a consequence, can form in the bulk under electrical bias. It has recently been
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is usually detected too late and lacks effective treatment. Our strategy combines clinical patient material and advanced protein research to develop new biomarkers for earlier diagnosis and treatment
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environment sector”. Flat glass is a well-used material in the construction industry but has traditionally been disposed as landfill. New initiatives to create a circular flow of flat glass has the potential
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, ATACseq data, and will analyze and synthesize and write up the work for publication and work closely with the HybridExpress team consisting of a lab manager, a PhD-student and a post doc. There will be