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sustainable forest management under climate change. Tree structural traits, including crown shape, branching patterns, and competition effects, strongly determine individual tree vitality, stand dynamics, and
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. The research is focused on catalysis, molecular recognition, structure and dynamics of complex molecular systems, and relationships between the presence of biomolecules and synthetic chemical compounds
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relevant to railway infrastructure design and safety. This position will be in the research group of Division of Soil- and -Rock Mechanics at the Department of Civil and Architectural Engineering. Key
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proficiency in English. Documented experience of programming and/or energy system modelling. Innovative and creative; bringing ideas and new approaches to problem solving. Autonomous and structured; taking
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. Special focus will be put on the development of microfluidic systems based on acoustofluidic chromatography and enrichment (trapping) of submicron particles, especially biological nanoparticles such as
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catalysis within a collaborative and dynamic environment. About the project and research environment Catalysis will play a pivotal role in the transition from a fossil fuel-based society to a more sustainable
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computational costs by orders of magnitude and enabling breakthroughs in drug design and materials science. The position bridges machine learning and molecular science, with opportunities for collaboration
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-series modeling (EEG, video, sensor data) and chemical/structural data representation (e.g. graphs, SMILES strings, molecular embeddings). Familiarity with multimodal representation learning and
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sustainable forest management under climate change. Tree structural traits, including crown shape, branching patterns, and competition effects, strongly determine individual tree vitality, stand dynamics, and
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microbiology to animal structure and function! Our main subjects are genetics, anatomy, physiology, biochemistry, pathology, pharmacology, toxicology, immunology, bacteriology, virology, parasitology