186 developer-"https:"-"https:"-"https:"-"Robert-Gordon-University" Postdoctoral positions in Denmark
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has opportunities to thrive, achieve and develop. We view equality and diversity as assets, and we welcome all applicants. Research activities will be evaluated in relation to actual research time. Thus
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of Denmark (DTU). The position focuses on the development of nanomaterial-based biosensors for ultra-early cancer detection, alongside the development of advanced nanoformulation-based cancer therapeutic
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solutes in water structure using molecular dynamics Developing molecular models for mixtures of two-state water We are looking for a PostDoc that is highly motivated and strives for academic excellence. You
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development of our hybrid power plant simulation models and controllers, mainly the plant level controllers taking into account the interaction with commercial wind turbine, PV systems, battery system and their
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develop solutions. The Research Group for Genomic Epidemiology at DTU National Food Institute conducts research within evolution and ecology of infectious diseases, metagenomic analyses of a wide range of
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, this position offers a unique opportunity. You will work with real robots, real sensors, and real physical interaction problems, contributing directly to the development of autonomous mining systems capable
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Environment. CEBE is a strategic initiative funded by the Villum Foundation that seeks to strengthen research and development of sustainable solutions for the construction sector. The programme will run for 10
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an attractive and inspiring workplace for all and to foster a culture in which each individual has opportunities to thrive, achieve and develop. We view equality and diversity as assets, and we welcome all
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focuses on innovation, entrepreneurship and collaboration with business and industry, and numerous researchers from the department have established companies to develop new medicinal treatments founded in
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main areas of work: Exploration of heterogeneity in GDM risk and GDM subtypes and application of these insights to develop a GDM risk prediction model, based on data from The Danish Blood Donor Study