677 computer-programmer-"https:"-"UCL" "https:" "https:" "https:" "https:" "https:" "https:" "P" "I.E" scholarships in Germany
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extensive server infrastructure for research Excellent training and career support opportunities (courses, personal coaching, ...) Your qualifications Master’s degree in Computer Science, Computational
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for early career researchers of all stages. Our programme will help you gain career skills, orientation, and support for a seamless transition into the job market inside academia—and beyond. Get in touch with
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uncovering fundamental principles of microbial interactions, resilience, and adaptation. We are expanding our bioreactor cultivation program and opening three PhD positions that will shape new cultivation
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during your doctoral studies. Structured Doctoral Education We provide a comprehensive qualification programme to all doctoral candidates of Goethe University and support you individually to organise your
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available in the further tabs (e.g. “Application requirements”). Programme Description The scholarship is intended to meet the costs students and researchers from higher education institutions in the Czech
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funded by the German Federal Ministry of Research, Technology, and Space (BMFTR) under the topic focus “Deep geothermal energy ” within the program “Geoscience for Sustainability (GEO: N) ”. The aim
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and coded computing (1 postdoc, 1 PhD, Antonia Wachter-Zeh, antonia.wachter-zeh@tum.de) • Theory for communication systems beyond Shannon's approach (1 postdoc, 1 PhD, Christian Deppe, christian.deppe
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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
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Groups Infrastructure & Expertise COMMUNITY Beyond the lab Student Representatives Program Program Overview Guidance & Mentoring Join Application & Admissions Info Internships Frequently Asked Questions
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Computer Science, Machine Learning, or equivalent with interest in Medical Imaging and Deep Learning. Strong knowledge in Machine/Deep Learning with experience in discriminative models, adversarial attacks, and