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Field
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metagenomics from various field experiments, evaluation of microbially mediated regulation of soil carbon fractions, and development of a model that simulates the growth of key soil microbial communities related
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Are you interested in Data Science and Digitalization in Smart Farming and can you contribute to the development of digital farming? Then the Department of Electrical and Computer Engineering
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engineering parts. This position offers a unique opportunity to drive the development of system-level digital-twin and optimization methodologies—integrating electrolyzer models with renewable generation, power
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and Planning includes development and planning in a broad sense, and thereby it ranges from technical subjects such as geodesy, surveying and geoinformatics, to the social science aspects of development
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or TensorFlow, and be motivated to combine theoretical work with algorithm development and experimental validation. We value curiosity, independence, and the ability to collaborate across disciplines in
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Data-driven Organizational Development, Master of IT and/or related programs that examine contemporary technological opportunities, challenges and concerns by means of SSH theory and methodology
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, Computational Physics, or similar. Who we are We are an interdisciplinary team working primarily with the development of numerical models for hydrodynamics. Current projects involve the model development
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who is ready to develop an independent research profile, contribute to high-quality teaching across several programmes, and take an active role in the daily life and long-term development of the Visual
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–immune interactions, immunotherapy, cancer vaccines, STING signalling, vaccine development), and/or Medical Microbiology (e.g., microbial pathogenesis, infectious diseases, virus research, antibiotic
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cancer biology your position is primarily research-based but may also involve teaching assignments. You will contribute to the development of the department through research of high international quality