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qualifications as an Ingenious Partner: Completed university degree, preferably in computer science, electrical engineering, computer engineering, mathematics, physics or similar Knowledge in at least one area
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Philosophy of law, Legal theory, Ethics, International law, European law, Comparative constitutional and Administrative law Basic experience in academic writing and with research methods Very good computer
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, for e.g.: Railway / Public Transport, Construction Industry, Logistics & Transportation, Agriculture & Forestry as well as in Aviation. Image descriptors are a fundamental technology in computer vision
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ability to express yourself both orally and in writing Computer literacy (MS-Office; Imaging Software) Basic experience in academic writing Didactic competences / experience with e-learning Excellent
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leveraging advanced computer vision and deep learning-based pose estimation from football match footage to analyze pre-injury biomechanical patterns and joint load dynamics. The research aims to create
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• Computer literacy (MS-Office; Imaging Software) • Basic experience in academic writing • Didactic competences / experience with e-learning • Excellent command of written and spoken English (C1 Level
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to different situations. You will broaden your knowledge and skills in the field of motion planning, machine learning, computer vision, and automation & control theory. You will train in scientific work and have
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Above-average academic success (at least in the field of civil and corporate law) Excellent computer skills (MS-Office) Experience in working with databases Very good written and spoken English Very good
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Research Engineer (f/m/d) for AI-Driven Knowledge Management for a Sustainable and Resilient Society
Ingenious Partner: Completed university degree (BSc or MSc), preferably in computer science, data science, computer engineering or similar Strong knowledge in AI/ML frameworks (e.g., TensorFlow, PyTorch) and
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This is part of your personality: M.Sc. degree or an equivalent four-year degree (or soon to be completed) in a relevant discipline: computer science, data science, human-computer-interaction, data