133 computer-science-programming-languages-"U.S"-"U"-"U.S" positions at Nature Careers in Denmark
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Development Programme targeted at career development for postdocs at AU. You can read more about it here . The application must be submitted via Aarhus University’s recruitment system, which can be accessed
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chosen by the hiring committee for the position. A mentoring programme will be offered, tailored to the individual applicant. PACE – Lundbeck Foundation Parkinson’s Disease Research Center PACE is a newly
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programme at the Faculty of Science . The ideal candidate has a background in or experience with one or more of the following topics: SIMD performance engineering. Machine Learning. Communication-efficient
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aspects of cheminformatics. The position is founded by the Challenge Programme of the Novo Nordisk Foundation: “Mathematical Modelling for Microbial Community Induced Metabolic Diseases ”, led by Prof
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contingent on a positive assessment and being chosen by the hiring committee for the position. A mentoring programme will be offered, tailored to the individual applicant. PACE – Lundbeck Foundation
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Partner Programme Living and working in Denmark Subsidised childcare and free education from primary school through university. Universal healthcare for you and your family as residents. Five weeks of paid
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If you have extended experience in imaging and imaging analysis from two- and three-dimension (3D) cell culture and your aspiration is to be at the forefront of system biology and single-cell
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at CSIC and UCM in Madrid, as well as Aarhus University, in a joint effort between the ERC Synergy project METRIQS and the Villum Young Investigator programme DynamiQ. Responsibilities and qualifications In
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to the Ministerial Order on the Appointment of Academic Staff at Danish Universities under the Danish Ministry of Science, Technology and Innovation . The application must be in English and include a curriculum vitae
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DTU Tenure Track Assistant Professor in Nutrient-Focused Processing in Ultra-Processed Food Syste...
properties of food, particularly ultra-processed foods. Experience with machine learning (e.g. deep learning), and computational modelling applied to food science and nutrition. A demonstrated ability to