231 machine-learning "https:" "https:" "https:" "https:" "https:" "Dana Farber Cancer Institute" uni jobs in Denmark
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, Denmark [map ] Subject Areas: Nonparametric estimation, Machine learning methods in econometrics and time series analysis, Statistics for high-dimensional data, Stochastic volatility models Appl Deadline
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strong emphasis on publishing in leading academic journals and presenting at recognised conferences. You can read more about the Department of Management at: http://mgmt.au.dk . Contact information Further
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information on the Department see: http://ecos.au.dk/en/ What we offer Excellent research infrastructure with access to state-of-the-art facilities, shared technical equipment, and strong technical support for
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@sund.ku.dk. For information on the faculty, please visit www.sund.ku.dk. Foreign applicants may find this link useful: http://www.ism.ku.dk/ (International Staff Mobility). Application Please submit
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scientific interests and priorities and they will establish a vibrant research group utilizing external funding. They will develop new curricula and teach classroom-based as well as field-based courses and
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DIAS Assistant Professor in Cognitive psychology, Clinical psychology, or Health psychology ved I...
foci and education program, see https://www.sdu.dk/en/om-sdu/institutter-centre/institut_psykologi Living and working in Denmark Foreign applicants will be offered Danish language training as part of
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: https://midtjob.dk/ad/overlaege-i-klinisk-onkologi-til-dansk-center-for-partikelterapi-auh/mxv1p8 Your competences You have established yourself as a prominent clinical researcher within oncology, and you
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developing the teaching program at the department. The candidate must hold a PhD in physics or equivalent and document the ability to teach physics at all levels of the University curriculum. The successful
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on development of wave energy and offshore wind. Most of our research is focused around work in our wave flume and basin. Further description of the group may be found here: https://vbn.aau.dk/en/organisations
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see: http://ecos.au.dk/en/ . What we offer The department offers: A multi-disciplinary research environment collaboration within strong research teams with extensive experience in carbon flux research