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, or ability to learn quickly) and/or symbolic/numerical computation (Mathematica, R, Python). • Fluency in scientific English (reading, writing, speaking) is essential to interact with the project's
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, and/or machine learning. Preferably you finished a master in Computer Science, (Applied) Mathematics or related masters. Expertise in the field of visualization or visual analytics. You have good
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The Leibniz-Institut für Analytische Wissenschaften - ISAS - e. V. develops efficient analytical methods for health research. Thus, it contributes to the improvement of the prevention, early
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to be able to fund the difference between home and overseas fees with a proportion being paid in full before Visa documentation can be issued. Applicants PhD applicants must hold a minimum of an upper
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, Analytical Science and technology or a related subject involving lab experience with chemical/physics instrumentation Proficiency in spoken and written English (C1 or higher) Capacity to quickly acquire new
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advanced machine learning and statistical methods, strong analytical skills and solid programming experience, very good English communication skills, both written and spoken, the ability to work
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application! We are now looking for a PhD student in Computer Vision and Learning Systems at the Department of Electrical Engineering (ISY). Your work assignments Your task will be to analyse and adapt vision
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, machine learning, and photonics. Be part of a multidisciplinary research team spanning science and engineering. Access state-of-the-art laboratories and high-performance computing facilities. Gain
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Jaguar Land Rover, this research proposes the Ring Probabilistic Logic Neural Network (RPLNN). Unlike opaque deep learning models, the RPLNN fuses neural computation with probabilistic logic rules within a
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to cover the difference between the home and international tuition fees. Exceptional international candidates may be provided funding for this difference. Number of places: 1 Number of places extra