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The Position Support the coordination of PRIME-ARI WP3 development of training material and LEAPS-TECH WP8 industrial outreach activities Monitor work plans, deadlines, deliverables, milestones and partner
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methods for the animation of 3D human avatars using Python and Pytorch Capturing of training data using Motion Capture Systems Setting up and evaluating experiments on machine learning model performance
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Basic knowledge in at least one of the following areas: integrated photonics, optical communications, machine learning/neural networks, or numerical simulation of optical systems Programming experience in
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Germany in one of Europe’s most vibrant high-tech and industrial areas. The university is a reliable employer, partner for technology transfer and is committed to the interdisciplinary integration
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| AT THE EARLIEST CONVENIENCE The University of Stuttgart is one of the leading technically oriented universities in Germany in one of Europe’s most vibrant high-tech and industrial areas. The university is a
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| AT THE EARLIEST CONVENIENCE The University of Stuttgart is one of the leading technically oriented universities in Germany in one of Europe’s most vibrant high-tech and industrial areas. The university is a
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modern period INSTITUTE OF HISTORY | AT THE EARLIEST CONVENIENCE The University of Stuttgart is one of the leading technically oriented universities in Germany in one of Europe’s most vibrant high-tech and
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the characterization of these components on 300 mm silicon wafers, extensive physical measurements generate large amounts of data. Efficient preparation of this data is therefore crucial for short learning cycles. Your
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close collaboration with a deep-tech startup. You will work in an internationally recognized research environment with access to state-of-the-art cleanroom facilities and collaborate with leading academic
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Max Planck Institute for Astronomy, Heidelberg | Heidelberg, Baden W rttemberg | Germany | about 2 months ago
for 4 years Software Developer / Computer Scientist (m/f/d) specialised in AI & Machine Learning, Ref. 421 to support the further development and commissioning of the Real-Time Control (RTC) system