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to announce a joint open PhD position in Improving Machine Learning Methods for Contingent Claim Pricing and Hedging. The project will focus on, but will not necessarily be limited to, a promising relatively
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Are you a highly motivated physicist interested in a PhD project at the intersection between nanophotonics and 2D material science? The 2D Nanophotonics group within the Institute of Physics has
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The project you will work on lies on the boundary between AI and theoretical physics. Physics has been a source of inspiration for innovation since the early days of machine learning. In particular
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students. Tasks and responsibilities: Conducting independent research in physics and machine learning, resulting in academic publications in peer-reviewed international journals; Help to guide Master
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complete educational program for PhD students; Multiple courses on topics such as leadership for academic staff; Multiple courses on topics such as time management, handling stress and an online learning
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A digital twin is the digital representation of a physical object, using real-world data (both real time and historical) combined with simulation or machine learning models to enhance operations and
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Are you enthusiastic about exploring the fascinating interplay between physics and mechanics? Are you interested in real world applications of metamaterials? We are delighted to open a PhD position
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expected: • to complete a PhD thesis within the official appointment duration of four years; • to perform research on computational modeling and brain simulation; • to acquire in-depth knowledge
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between Christmas and 1 January; multiple courses to follow from our Teaching and Learning Centre; a complete educational program for PhD students; multiple courses on topics such as time management
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degron systems. Wet lab tools are combined with computer simulation, machine learning and bioinformatics. What are you going to do? You will generate human and mouse cell lines with genomic integrated