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Field
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at Fraunhofer ITWM are machine learning, artificial intelligence, renewable energies and sustainability. In addition, next-generation computing and quantum computing are future-oriented issues that our
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applications, although this is not the primary goal of the position. What you will bring (position requirements): A PhD in machine learning or data science and a background in computer science, physics
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of Engineering and Design and the School of Computation, Information and Technology. You will help us to prepare teaching material, serve as teaching assistant in our lectures, support lab courses, and supervise
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Willingness for interdisciplinary cooperation with experts from the field of computer science- Reliability and punctuality Good command of written and spoken English (other language skills are an advantage
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engineering, computer science or a comparable subject You have good experience in Python You have basic knowledge of the theory and methods in machine learning Good language skills in German and/or English What
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offer A vibrant research community in an open, diverse and international work environment Scientific excellence and extensive professional networking opportunities A structured PhD program with a
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Student Assistant (m/f/d) | "The Art of AI. Rethinking Notions of Creativity, Aesthetics and Ethics"
Kunsthistorisches Institut in Florenz - Max Planck Institute, Florence, Italy | Germany | 2 months agohistory, philosophy and computer science and engages with questions that range from historical narratives of automata and robots to contemporary challenges such as deep-fakes, AI-assisted artistic
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with foreign partner organisations. The scholarships are funded by the Federal Ministry of Research, Technology and Space. Who can apply? The programme is aimed at university teachers and experienced
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Description Thinking of doing your PhD in the Life Sciences? The International PhD Programme (IPP) Mainz is offering talented scientists the chance to work on cutting edge research projects
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Background/Motivation: Authorship verification (AV) is used in areas such as forensics, plagiarism detection, and fake news detection to identify the true author of a text. The goal of authorship verification (AV) is to classify whether two or more texts were written by the same author (Y) or...