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in Trondheim. At NTNU, 9,000 employees and 43,000 students work to create knowledge for a better world. You will find more information about working at NTNU and the application process here. ... (Video
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Applications are invited for a position in the rapidly expanding data analytics run by Prof Adam Dubis. The main focus of the team is to develop deep learning tools for prediction of disease progression
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We would like to recruit our new colleague ourselves. Acquisition in response to this vacancy will not be appreciated. Would you like more information? Prof. W.T.S. Huck (Wilhelm) wilhelm.huck@ru.nl
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Regular Job Code 9742R5 Employee Class Acad Prof and Admin Add to My Favorite Jobs Email this Job About the Job Required Qualifications: * Ph.D. or Masters with equivalent experience in Computational
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, culture and ecology in unexpected ways. For example, he investigates the way in which international networks of scientists were able to claim ‘untamed’ nature in the colonies as their field of study. In
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Significant risks posed by highway runoff to the UK water environment have been exposed by industry associations, government and environmental organisations, scientists, and media streams in recent months
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employees). As an equal opportunity employer, the Leibniz-HKI is committed to increasing the percentage of female scientists and therefore especially encourages them to apply. For further information: Prof
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trail experts, and computational scientists. It is highly likely completion of PhD will lead to post-Doctorate research opportunities on data science and statistical modelling as either an extension or a
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information about this vacancy, please contact Prof. Abdul M. Mouazen (abdul.mouazen@UGent.be , +32(0)9 264 6247) and/or Prof. Stefaan de Neve (stefaan.deneve@ugent.be , +32(0)9 264 6061). We do not accept late
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information about this vacancy, please contact Prof. Abdul M. Mouazen (abdul.mouazen@UGent.be , +32(0)9 264 6247) and/or Prof. Stefaan de Neve (stefaan.deneve@ugent.be , +32(0)9 264 6061). We do not accept late