1,884 cloud-computing-"https:" "https:" "https:" "https:" "https:" "St" "St" positions in Germany
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position in the area of machine learning and computer simulations. The focus of the PhD project will lie on developing machine learning models for clustering, classification, regression and reinforcement
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the course of the application process pursuant to Art. 13 of the General Data Protection Regulation of the European Union (GDPR) at https://portal.mytum.de/kompass/datenschutz/Bewerbung/. By submitting your
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available in the further tabs (e.g. “Application requirements”). Objective The aim of the programme is to support young scientists and academics in Aceh in the aftermath of the 2004 tsunami and help promote
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verschiedene Projekte in Bereich E-Mental Health durch (weitere Informationen unter https://www.sg.tum.de/digitalhealth/startseite/ ) The position is suitable for disabled persons. Disabled applicants will be
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site in Heidelberg, invites international students holding a Master’s degree in (molecular) biology, (bio-)chemistry, (bio-)physics, computational biology, computer science, epidemiology / public health
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or see http://www.dpz.eu. For more information about the Leibniz Association see www.leibniz-gemeinschaft.de
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academic supervision from Prof. Henkel. You will participate in the doctoral program of the TUM School of Management; after about a year, there is the possibility to apply for the School’s Academic Train-ing
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to your application: curriculum vitae, references and certificates, two letters of recommendation and a letter of motivation detailing your fit. Link to online advertisement and application portal: https
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, organization, compression, analysis, and visualization of georeferenced or geometric data in large scales. We put emphasis on methods of distributed computing, machine learning, image and text analysis
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practical experience alongside your studies Professional supervision and collaboration in a dedicated team A state-of-the-art machine park equipped with edge cloud systems and 5G infrastructure Flexible