59 computer-security "https:" "https:" "https:" "https:" "https:" "https:" "Dr" PhD scholarships at Technical University of Munich
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University of Munich (TUM), you will be submitting personal data. Please refer to our data protection information in accordance with Art. 13 of the General Data Protection Regulation (DSGVO) http://go.tum.de
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for two letters of recommendation in one PDF document. Please send them under the subject ”PhD in Biological Physics” by e-mail to Prof. Karen Alim (k.alim@tum.de) and Dr. Fatemeh Mirzapour (f.mirzapour
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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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document. Please send them under the subject ”PhD Biological Physics” by e-mail to Prof. Dr. Karen Alim (k.alim@tum.de) by 30.04.2022. She will also be happy to provide you with further information in
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(mechanical engineering, mechatronics, robotics, electrical engineering, computer science, etc.) -Know-How from lectures in robotics (e.g. environment perception, path and behavior planning, control) -Very good
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by 28.02.2026.rsi@ls.tum.de For further information, please contact: Prof. Dr. Mutez Ahmed The position is suitable for disabled persons. Disabled applicants will be given preference in case
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21.12.2021, Academic staff The Department of Computer Science, Technical University of Munich, has a vacancy for a PhD candidate/researcher position in the area of efficient algorithms. The position
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08.09.2021, Academic staff The Professorship of Machine Learning at the Department of Electrical and Computer Engineering at TUM has an open position for a doctoral researcher (TV-L E13 100%, 3
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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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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