711 computer-programmer-"https:"-"https:"-"https:"-"https:"-"https:"-"CSIC"-"CSIC" positions in Germany
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« »Mathematics for Vehicles, Systems, and Processes« »Analytics and computing« What you contribute You are a registered student in a natural sciences degree programme. You demonstrate commitment and enjoy taking
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an unprecedented computing and storage infrastructure. Processing these enormous amounts of data in a future data center, however, consumes significant resources. The fundamental challenge is: How do we build and
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researcher in Computer Science, Data Science, Human-Computer Interaction, Psychology, Empirical Educational Research, Learning Sciences, Cognitive Science, or related disciplines who is eager to contribute
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optics (Ø 150 mm) To achieve this, you will independently plan experiments and carry them out on the laser system You will evaluate the experimental results using the available precision measurement
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available in the further tabs (e.g. “Application requirements”). Programme Description Applicants are highly qualified scientists and scholars from abroad just embarking on their academic careers who
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available in the further tabs (e.g. “Application requirements”). Programme Description Highly-qualified international scientists and scholars from all disciplines who completed their doctorates less than 12
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optical communication networks and systems, as well as machine learning, computer vision and compressing digital videos. As part of our project with the start-up testblu, we are looking for a Student
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regular public lectures and symposia, weekly discussion groups, and a vibrant and supportive doctoral program at its Graduate Center. Application To apply, please upload the following documents, compiled in
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. Christoph Bareither), computer science (Prof. Dr. Carsten Eickhoff and Dr. Harrisen Scells), psychology (Prof. Dr. Sonja Utz) and Neuroscience (Prof. Dr. Kerstin Ritter), and will collaborate with several
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of computer vision technologies. Be part of change Conduct research and development in the fields of Artificial Intelligence (AI) and Machine Learning (ML) Design, implement, and evaluate AI-based methods, with