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/forskning/forskningsgrupper/l-ild and https://www.ikk.aau.dk/forskning/forskningsgrupper/kild ), the research group Collaboratory for Human-Centered Immersive Problem-Solving Spaces (https://vbn.aau.dk/da
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. The PhD student is expected to develop and apply methods for causal inference will be part of the SMARTbiomed Pioneer centre https://SMARTbiomed.dk/about-SMARTbiomed. Project Description The PhD project
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agreed upon with the relevant union. Please see DTU’s salary structure for scientific staff: www.inside.dtu.dk/en/human-resources/during-employment/salary/salary-structures . The period of employment is 3
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PhD Scholarship in Development of Cement-Free Living Building Materials for Sustainable Construction
for scientific staff: www.inside.dtu.dk/en/human-resources/during-employment/salary/salary-structures . The period of employment is 3 years. Starting date is 1 February 2027 or according to mutual agreement
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, ethnography, and policy studies. Further description of the project can be found here: https://dff.dk/en/our-funded-projects/meet-the-researchers/research-leaders/eksterne-personer-en/research-leaders-2026
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technologies within mathematics, data science, computer science, and computer engineering, including artificial intelligence (AI), machine learning, internet of things (IoT), chip design, cybersecurity, human
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and the humanities. Information on the institute can be found at: https://www.globe.ku.dk/ . The Globe Institute is committed to creating an inclusive and diverse environment where employees and
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for 3-year PhD positions in computer science with emphasis on formal methods. Possible topics include (but are not limited to) computational complexity, distributed systems, human factors, logic
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rapidly digitalising society and contributes to the development of sustainable, inclusive, and pluri-/multilingual ecosystems across Europe. More information may be found on the MultiLAwa home page https
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human activities that push species to extinction and potentially disrupts ecosystem functionality. Our interdisciplinary lab will develop novel Graph Representation Learning models to understand and