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://www.academictransfer.com/en/jobs/354978/phd-position-theory-of-learning… Requirements Specific Requirements You hold an MSc in physics, engineering physics or mathematics. You have a good command of analytical techniques
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, Engineering or related field. A strong background/knowledge in machine learning and computer vision, natural language processing is a plus. Solid mathematics foundations, especially statistics, calculus and
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the Faculty of Science and Engineering, a 4-year PhD position is available to start as soon as possible at the Bernoulli Institute for Mathematics, Computer Science and Artificial Intelligence with the topic
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. Your profile An MSc degree in Artificial Intelligence, (Applied) Mathematics/Physics, Computer Science, Engineering or related field. A strong background/knowledge in machine learning and computer vision
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of Science of Leiden University. We offer courses at the Bachelor and Master of Science level in Artificial Intelligence, Computer Science, ICT in Business, Media Technology, and Bioinformatics. According
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Science Institute in the Faculty of Science of Leiden University. We offer courses at the Bachelor and Master of Science level in Artificial Intelligence, Computer Science, ICT in Business, Media Technology, and
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combining insights from engineering, planning, innovation, and transition studies, we explore the dynamics between infrastructure management, policymaking, and end-user behaviour. The knowledge we generate
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excellent facilities (e.g., multiple labs for experimental research, equipment for movement analysis and physiological measurements, as well as high-quality engineering support to develop custom-made
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) Engineered therapeutics. AOT’s mission is: 1. To provide innovative technological solutions to patients suffering from chronic and malignant diseases to gain a longer, better and healthier life. 2. To provide
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advanced analytical technology. In our laboratories we have state-of-the art 3D printers and CNC machines as well as NMR spectrometers. Key responsibilities: Design and manufacture microfluidic chips and