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checks may be conducted on qualified candidates for the position. DTU Sustain - Department of Environmental and Resource Engineering - is one of the largest university departments specializing in
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department has activities in Kolding, Esbjerg and Sønderborg with approx. 60 employees engaged in research and teaching in the fields of resource and environmental economics, entrepreneurship, marketing, and
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of resource and environmental economics, entrepreneurship, marketing, and organizational studies. As part of the project, you also participate in the research project, working with other PhD candidates and
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at the intersection of regeneration and entrepreneurship? If so, this PhD position in Regenerative Entrepreneurship may be the right opportunity for you. The Centre for Technology Entrepreneurship (DTU Entrepreneurship
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for ambitious candidate with an MSc degree in sedimentology, geochemistry, or geobiology, although a degree in related environmental sciences will also be considered. For further information please contact Don
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Experience in mass spectrometry-based proteomics, structural biology, or CRISPR-mediated gene editing Proficiency in computational data analysis Strong communication and collaborative skills and an interest in
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Department of Civil and Mechanical Engineering at www.construct.dtu.dk . If you are applying from abroad, you may find useful information on working in Denmark and at DTU at DTU – Moving to Denmark
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regarding interventions on sustainable diets. This PhD project bridges evidence synthesis and RBA of sustainable diets for public-health advice. RBAs rely on data provided by systematic reviews reporting
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), the Helmholtz Center for Environmental Research in Leipzig (Molecular Systems Biology, Prof. Martin von Bergen) and the University of Vienna (Department of Theoretical Chemistry, Prof. Christoph Flamm), who may
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. software or computer science) and the desired candidate is expected to have knowledge within relevant areas, e.g. within software technologies for programmer support, hardware set up, data modeling and data