263 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "Edinburgh Napier University" uni jobs in Denmark
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various data analysis tasks. Your work will focus on carrying out data preprocessing, data wrangling, and carrying out analyses using R (and sometimes Python). Example projects you will be working
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at the Department of Mathematics. The academic content of the program is identical to that of the already existing bachelor's program in Data Science, but all teaching is conducted in English, and the recruitment is
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Job Description We are looking for a skilled and experienced Data Engineer with interest in working with dietary survey data and building data infrastructure. The Research Group for Nutrition
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working environment are viewed as important. Please refer to http://food.au.dk/ for further information about The Department of Food Science and to https://tech.au.dk/en/and http://www.au.dk/en
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optoelectronics and cryogenic device platforms in the context of artificial neural networks and neuromorphics. Information on the department can be found at: https://qdev.nbi.ku.dk/ Our research Our group conducts
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. Please refer to https://birc.au.dk/ and https://mbg.au.dk/ for further information about BiRC and MBG, and to https://nat.au.dk/ and https://www.au.dk/ for information on Faculty of Natural Sciences and
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The Department of Biomedicine at Faculty of Health at Aarhus University invites applications for a position as an academic employee within image analysis and IT infrastructure for imaging data as
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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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to take a leading role in society as advocates for science and nature, creating impact at all levels while actively promoting the museum’s Vision and Values (https://snm.dk/en/about-museum ). Further
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Job Description Are you our next Full Professor in the Embedded Systems Engineering section at DTU Compute? You possess expertise in one or more areas within the broad domains of computer