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is an international research and innovation hub dedicated to advancing the digital infrastructure that underpins modern energy systems. The Center develops scientific methodologies and scalable
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, entrepreneurship and collaboration with business and industry, and numerous researchers from the department have established companies to develop new medicinal treatments founded in professional scientific basic
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plant ecophysiology and ecology. We are looking for a motivated and talented researcher with strong background within these fields. Ideal candidates will develop new areas of study that complement our
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Track Programme is to: attract outstanding talented individuals that are competitive at an international level to promote the early development of independent research success early in the career
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nanosatellite/CubeSat constellations and to develop innovative GNSS-based sensing methods and AI models to detect a variety of Earth surface processes. This PhD position focuses on developing analytical models
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Tenure-track Assistant/Associate Professor/Professor in Ecophysiology and Ecology Department of B...
plant ecophysiology and ecology. We are looking for a motivated and talented researcher with strong background within these fields. Ideal candidates will develop new areas of study that complement our
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to spearhead the automation efforts within DTU Bioengineering, with a focus on integrating and enhancing automation workflows for DALSA. This involves not just the development and implementation of automated
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contribute to a wide range of Defence needs, including NATO and Danish doctrine development, participating in public debates, and advising the Danish Defence on operations-related matters. Researchers at RDDC
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Candidates (DCs). We aim to create a network of early-stage researchers equipped with knowledge and skills - including entrepreneurship – to develop and support implementation strategies that address
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Communication, the Faculty of Social Sciences and Humanities and the Center for Clinical Data Science (CLINDA), Department of Clinical Medicine, the Faculty of Medicine. AI:GENE-XPLAIN develops AI tools