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approaches across multiple crop species, the project will help identify candidate genes relevant for crop research and future breeding strategies. The results will also provide new insights
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, including, but not restricted to, geometry or shape optimization, parameter optimization, or multi-objective optimization. · Strong programming skills (e.g. Python, C/C++, R or similar) and experience
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PhD students (multiple positions) Artificial Intelligence within Public Health Research (all genders) Start date: 01.10.2026 Contract type: 3 years (fixed-term) Location: Wildau Deadline: 30.04.2026
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productivity. Multiple coordinated observing strategies, including research vessels and a large ensemble of autonomous platforms, will collect physical, chemical, and biological datasets across scales
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(preferably in R, Python, GIS) • Competences in quantitative research methods - ideally knowledge of several of the following aspects of quantitative data analysis: analysis of large/longitudinal datasets
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in Python. Interest in (or prior exposure to) metamaterials / architected materials (e.g., lattices, TPMS, graded microstructures) and homogenisation concepts. Basic understanding of anisotropy and
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Are you passionate about pushing the frontier of catalysis science? The Center for Visualizing Catalytic Processes (VISION) at the Technical University of Denmark (DTU) is offering multiple PhD
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Applying machine learning-guided directed evolution to improve multiple enzyme properties Upscaling selected biotransformation reactions in collaboration with academic partners Responsibilities and