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-based statistical signal processing techniques and data-driven machine learning methods. The Signal Processing Division has access to excellent high-performance computing facilities, measurement equipment
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, superconductivity, cryogenics, or microwave electronics. Additional experience beyond the PhD is not required. US citizenship is not required. What we offer State of the art on-site high performance/GPU compute
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sim and real and propose strategies to improve performance What you bring to the table Enrolled student at a German University/Hochschule High motivation and initiative Very good English language skills
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emerging technologies (AR, VR, AI) shape decision-making. YOUR PROFILE - Excellent Master’s degree in business, psychology, or computer science - Strong interest in marketing, psychology, new technologies
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matter, nanotechnology, and drug delivery; high-throughput platforms and molecular/cellular biosensors; computational bioengineering and AI for modeling, design, and prediction. The Max Delbrück Center
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Degree Doctoral degree (Dr rer nat) Course location Konstanz Teaching language English Languages All our courses are held in English. Programme duration 6 semesters Beginning Winter and summer
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-Materials-Engineering-with-focus-on-computational-optimization-of/884-de_DE/ This research center is part of the Helmholtz Association of German Research Centers. With more than 42,000 employees and an annual
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Independent definition, development and implementation of processes for transferring promising laboratory concepts into the 300 mm high-tech cleanroom environment Optimization of process flows and metallization
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“Commended Paper Award” of the IFAC MIM conference. Prof. Otto actively engages in academic governance, serving as an editorial board member of leading scientific journals as well as a program committee member
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additional courses offered by other institutions of the University of Freiburg, which may be held in German. Full-time / part-time full-time Programme duration 6 semesters, 8 semesters Beginning Only