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”, led by Associate Professor Valeria Vitelli. Successful candidates will work on Bayesian models for unsupervised learning when multiple data sources are available, mostly tailored to the case
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Status: Closed Applications open: 1/07/2024 Applications close: 18/08/2024 View printable version [.pdf] About this scholarship Description/Applicant information Project Overview Alexithymia is a
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-aware code acceleration paradigms (OpenCL, CUDA, SYCL, etc.) Track record of open-source code contributions Strong motivation, with evidence of independent research skills relevant to the project Personal
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to claim: -an unmatched faculty. -degree and open enrollment programs offered on three continents. -a global body of nearly 56,000 accomplished alumni. -strong and growing corporate relationships
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? Nomination is possible if a doctorate is either not customary or not possible in the nominee's country of origin or discipline, and if the nominee can prove that his or her academic performance is equivalent
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will be responsible for the CPS intelligence, IoT, and SoS automation architecture and the use of AI and Machine Learning (ML). Targeted results include academic papers and contributions with open-source
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an official electronic transcript or OPEN your official paper transcript to scan as part of your complete application. **If your Ph.D. comes from a non-US university that does not issue an official transcript
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infrastructure Inquiries about the research project and the open position should be directed to Dr. Liudmila Sosulina ( Liudmila.Sosulina(at)lin-magdeburg.de ) or Dr. Janelle Pakan (Janelle.pakan(at)med.ovgu.de
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Beginning Only for doctoral programmes: any time Application deadline Applications for PhD positions are possible throughout the year. For more information, please see https://www.idiv.de/en/about_idiv
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conducted in German. Full-time / part-time full-time Programme duration 6 semesters Beginning Winter semester Application deadline 31 January for the following winter semester Tuition fees per semester in EUR