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Field
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fields. Design a solution which is implementable on a computer and in hardware. Collaborate with colleagues to implement the solution in hardware at the ACES lab at the Institute of Theoretical
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algorithms. Our research integrates expertise from machine learning, optimization, control theory, and applied mathematics, spanning diverse application domains such as medicine, energy systems, biomedical
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background in Machine Learning, with the ability to understand and extend current research Solid programming and engineering skills Comfortable working with modern development tools and practices Strong
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in the field of Portuguese Literature, in line with the Centre’s current research priorities (https://www.uc.pt/fluc/clp/ ). The successful candidate will carry out autonomous and collaborative
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equivalent content. PhD in Computer Engineering (Spanish MECES level 4 or EQF level 8) or any other PhD programme with equivalent content. Where to apply Website https://ssp.ua.es/en/selecinvest/academic
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in English (reading, writing, speaking). • Show ability to work independently as well as in a team. • Good knowledge in AI, machine learning, data science and mathematics. • Good knowledge in one
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Campus, in the middle of the largest chemical site of the Netherlands. As such, we are very well connected to industry. More information you can find on https://www.maastrichtuniversity.nl/research
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cookie and refresh page to watch video, or click here to open video) About the position This PhD project is connected to FME NorthWind (https://www.northwindresearch.no/ ), a Norwegian national research
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) Developing machine-learning based exoskeleton controllers to work across tasks 2) Designing and validating new robotic lower-limb prostheses 3) Exploring other high-risk high-reward research areas related
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their skills and experience. Current priority areas for A&A are: State preparation techniques Schemes for extracting information and observables from quantum computation Noise modelling of logical quantum