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, memristive devices), and the evaluation with e.g. machine learning and image processing benchmarks Requirements: excellent university degree (master or comparable) in computer engineering or electrical
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only in English. Full-time / part-time full-time Programme duration 6 semesters Beginning Winter semester Additional information on beginning, duration and mode of study Successful applicants will then
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equivalent degree with a specialisation in natural or computer science. Language requirements English is the programme language. Good written and spoken English is essential. Application deadline Application
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and image analysis. Programming skills in Python and ImageJ are advantageous. Interest in interdisciplinary and international teamwork. Excellent written and spoken English. Our Offer: We work on the
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-tracking technology, Computer Vision, Speech/ Language Processing, VR, and AR. • Know-how/Interest in designing user studies. • Excellent communication skills and a collaborative spirit to work with
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part of Helmholtz networks, e.g., HIRSE; https://www.helmholtz-hirse.de and internationally Your Profile: University degree (Master, Diploma) in natural sciences, computer science or engineering PhD in
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Mainmenu Information for Prospective Students Current Students Staff Teaching Staff Alumni Media Business Lifelong learning Quicklinks All Degree Programs ALMA Portal Excellence Strategy Staff Search (EPV
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professional networking opportunities A structured PhD program with a comprehensive range of continuing education and networking opportunities - more information about the PhD program at the HZDR can be found
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Max Planck Institute for the Structure and Dynamics of Matter, Hamburg | Hamburg, Hamburg | Germany | about 1 month ago
high-impact scientific journals Essential skills and qualifications MSc and/or PhD qualifications in Chemistry, Physics, Materials Science, Computational Science, Engineering or a closely related field
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German Institute for Economic Research (DIW Berlin) • | Berlin, Berlin | Germany | about 5 hours ago
engineering, statistics, or quantitative social sciences) may also fulfil requirements for the programme if applicants have sufficient background knowledge in economics. Applicants whose native language is not