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dairy cattle. Tasks and responsibilities Develop statistical and machine learning methods to exploit ancestry patterns over the genome of individuals. Develop methods for simulation and analysis
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on financial and employee stress using Denmark Statistics databases. The starting date is 1.10.2024 or subject to mutual agreement. The research project The project is about employee stress in various
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statistical modeling and methods development to experimental hypothesis evaluation and clinical translation. There are also close collaborations with the wet-lab and clinical groups at the department ( https
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the Department of Food Science. The candidate is expected to take part in teaching and supervision at BSc and MSc level, as well as attracting funding for further research in the area. Your profile We seek a
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There is a large potential for using artificial intelligence(AI) for improving diagnosis, prognosis, and treatment of many diseases. Large amounts of clinical data are needed to train useful AI
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contribute positively to the social working environment. We also expect that you will take part in our teaching activities and that you will report research results in high-impact scientific journals. Your
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) epidemiology, bioinformatics, statistical genetics, data science, machine learning, or a closely related discipline, and have experience with research in obesity, diabetes, cardiovascular disease, and/or life
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working with behavioral and preference models, large-scale surveys, data management, and multivariate statistical analysis. The job The research will be carried out in the context of two projects, but
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Vesteghem, [email protected] , tel.+45 6166 7681. Qualifications You should hold a PhD degree in computer science, statistics, physics, mathematics, engineering, or a field of science relating to data
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disciplines mathematics, statistics, computer science, and engineering. We conduct research, teaching and innovation of high international standard – producing new knowledge and technology-based solutions