50 machine-learning-"https:" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" uni jobs at Aarhus University
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microarrays (TMAs) are desirable but not essential. Please visit https://www.ucl.ac.uk/work-at-ucl/rewards-and-benefits to find out more. You can read more about our commitment to Equality, Diversity and
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Are you passionate about compression, analytics, and machine learning for the Internet of Things and can you contribute to the development, operation and support in cutting-edge projects in strong
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contaminated water, wastewater, groundwater, drinking water and surface water and related environmental media. https://envs.au.dk/en/ https://projects.au.dk/waterpurification What we offer The department/centre
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abroad. We also teach philosophy and history of ideas in combination with a minor subject, which qualifies students for teaching in Danish upper secondary schools. See more at https://kandidat.au.dk
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aligned to the Science Team ‘Food Quality Perception and Society’ (FQS) at the Department of Food Science http://food.au.dk/en/foodresearch/science- teams/food-quality-perception-society/. The Science Team
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computational biology with a strong focus on development of computational and statistical methods, particularly within machine learning and artificial intelligence. The applicant must have earned a PhD degree and
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to the research and infrastructure in the Plant Molecular Biology section (https://mbg.au.dk/en/research/research-areas/plant-molecular-biology ). Internal communication and teaching at the Department is primarily
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for international researchers and accompanying families, including relocation service and career counselling to expat partners. Please find more information here: https://internationalstaff.au.dk/relocationservice
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responsible for two educations: Molecular Biology and Molecular Medicine with a yearly uptake of 160 students in total. Please refer to http://mbg.au.dk/ for further information about The Department
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expertise in one or more of the following areas: education and democracy, sustainability and diversity, digital technologies in education, school exclusion and vulnerability, special education and learning