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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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The position provides you with the opportunity to pursue PhD studies in Computing Science for four years, with the goal of achieving the degree of Doctor in Computing Science. While the position is mainly
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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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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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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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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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Electrochemistry, Chemical Engineering, Materials Science, Energy Engineering, or similar specializations. You should have a good knowledge in English language and good oral and written proficiency. It is desirable
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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