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for Digital Building Technologies, Department of Civil and Mechanical Engineering, Technical University of Denmark (DTU). The research project will be carried out in collaboration with a team of DTU researchers
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understanding of environmental assessment and are comfortable working in a laboratory environment. A background in chemical risk assessment (including exposure analysis, analytical chemistry, ecotoxicology, and
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engineering, in an exciting combination of academic and industrial environments. Responsibilities and qualifications Within the scientific area, the researcher is expected to advance the Department's activities
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for Science & Technology (KAIST), and an external stay at KAIST will be included as part of the PhD program. Qualifications Proficiency with Python Experience implementing various Machine Learning algorithms
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programme, please see DTU's rules for the PhD education . Assessment The assessment of candidates will be performed by Professor Bengt Johansson, Project leader of the AI controlled engine project and future
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, such as bioinformatics, biochemistry, molecular biology, biotechnology, or a related discipline. You must have: Expertise in either computational protein design or wet lab techniques for protein
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computer science and control systems architecture, advancing all the above disciplines. Building energy flexibility is an important resource for balancing and load shifting in energy networks, especially
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developers. We are especially interested in individuals with strong domain knowledge in wind energy or Earth system sciences who are motivated to apply and grow their software development skills. As digital