538 computer-security "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" PhD scholarships in Germany
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with team members and colleagues. Essential qualifications: M.Sc. in Computer Science, Machine Learning, or equivalent with interest in Medical Imaging and Deep Learning. Strong knowledge in Machine/Deep
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demands, wireless system deployment) as well as the digital world (such as networking, memory, computational resources for different applications). Information about the physical and digital world is
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the research profile of the University of Bremen. Rooted in computer science, Minds, Media, Machines connects researchers from eight faculties of the university with numerous internal and external partners
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the development of scientific networks in an international environment of the Göttingen campus and beyond. GAUSS provides the organisational and regulatory umbrella for this programme. It was founded in 2005 by
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University of Veterinary Medicine Hannover • | Hannover, Niedersachsen | Germany | about 12 hours ago
Degree PhD or (if applicable) Dr rer nat Course location Hannover Teaching language English Languages English (100%) Full-time / part-time full-time Programme duration 6 semesters Beginning Winter
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English Full-time / part-time full-time Programme duration 6 semesters Beginning Only for doctoral programmes: any time Application deadline At any time to the principal investigators directly Tuition fees
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available in the further tabs (e.g. “Application requirements”). Programme Description Higher education graduates of outstanding academic merit who plan to complete a doctoral programme or carry out
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-time / part-time full-time Mode of study Less than 50% online Programme duration 6 semesters Beginning Winter and summer semester Application deadline Announced on the website for the summer semester: 15
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. Full-time / part-time full-time Programme duration 8 semesters Beginning Winter semester Application deadline Middle of January for the following winter semester starting on 1 October Please check our
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)). By submitting your application, you confirm that you have acknowledged the above data protection information of TUM. Kontakt: f.mirzapour@tum.de More Information http://www.bpm.ph.tum.de