799 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "University of St" "St" positions in Denmark
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QGG Aarhus University seeks two Postdoctoral researchers in Quantitative Genetics of sustainable ...
tools or functional genomic information or OMICS to improve genomic prediction models. The persons hired will collaborate with industry partners, teach at undergraduate and graduate levels, and supervise
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Tenure Track in Sensory and Consumer Science at Department of Food Science, Aarhus University, De...
also conducts research-based advice of the Danish Government in the areas of plant production and food quality. Please refer to http://food.au.dk/ for further information about The Department of Food
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the business community. For more information: https://bce.au.dk/en/research an exciting interdisciplinary and international environment at a university that consistently ranks among the world’s best universities
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research projects, from initial conception and design through to completion. Communicate research results: presenting data at national and international conferences and meetings, writing reports and
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plant operation. The job We are looking for an academic employee, who has an interest in and very much like experience with laboratory work, including data collection and analysis, literature research
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with Bioneer, DTU Bioengineering, DTU Health Tech, and KU, DTU Compute is aiming to create a shared data framework and platform to pioneering models and methods with applications to stems cells
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candidate is expected to hold: A master degree in biomedical engineering or computer science, Excellent programming skills (Python). Experience with data curation, large-scale datasets, and machine learning
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properties through computer simulations. The project also includes validation of materials in the lab and translating the findings into practical recommendations for use in real power-electronics environments
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professional experience At least 5 years of hands-on experience as an entrepreneur or in building and operating digital products and technology startups, ideally within fintech, SaaS, data platforms, or AI
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, organoid-based models and in vivo cancer and infection models Integration and analysis of transcriptomics and proteomics datasets Establishment and maintenance of standardised experimental pipelines Data