22 affective-computing-"https:" "https:" "https:" "UCL" "UCL" uni jobs at Utrecht University in Netherlands
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meaningful contribution to computational social science research in the Netherlands. You collaborate with other researchers to design and develop a wide range of innovative projects, for example involving
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-disciplinary environment, your work will enable high-impact discoveries in the life sciences and impact health and sustainability. You can expect a varied range of responsibilities: Performing data collection
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Doctoral Network (MSCDN) uniting leading European universities, hospitals, research institutes and industry partners. It trains 15 PhD candidates in an interdisciplinary programme covering genetics
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the Reproductive Genetics team. Your job Your main tasks will consist of supporting a vibrant clinical programme in all activities related to in vitro production and preservation of horse embryos (oocyte recovery
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that will employ a wide range of methods, including biochemical, biophysical, cell biological, computational, and genetic approaches. This cutting-edge research spans from computational analyses and single
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the acceptance and use of animal-free biomedical innovations. Combined, the CPBT will run an integrated programme that accelerates the transition to animal-free testing and strengthens the Dutch economy. For our
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looking for an enthusiastic colleague to join our team as a lecturer, contributing to teaching in the Bachelor’s programme Science & Innovation Management (NW&I). Your job You will become part of
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looking for an enthusiastic colleague to join our team as a lecturer, contributing to teaching in the Bachelor’s programme Science & Innovation Management (NW&I). Your job You will become part of
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Economics Section of the Utrecht University School of Economics. We offer courses within the broad Bachelor’s programme Economics & Business Economics, a double Bachelor’s programme in Economics and
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developing courses focused on skills in bioinformatics and computational biology? Would you like to inspire and be inspired by students and colleagues within a unique computational biology environment