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Field
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decision-making, and mathematical theories of AI. While applications of AI are used to validate these innovations, the primary goal is to build foundational methods and theories for societal impact. Course
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clear aptitude for research. You will have a Masters in a relevant discipline and will definitely have a 1st or 2:1 Bachelors degree (or equivalent). You will be able to demonstrate excellent mathematical
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dependent on the agreement made with the supervisor. Academic admission requirements Admission will be granted after application and approval by the Faculty of Mathematics and Natural Sciences. Language
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programmes in research and education range from nanomaterials and biomachinery to astronomy, from mathematics to pharmacy, from neurosciences to computer science, and from molecular and evolutionary biology to
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As a flagship research center in nanoscience and nanotechnology, our mission is to open and explore new frontiers of knowledge at the nanoscale, and bring value to society in the form of new understanding, capabilities and innovation, while inspiring and providing broad training to the next...
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bring: A PhD, or an equivalent combination of qualifications and demonstrated research experience, in Electrical Engineering, Mathematics or related fields, with a focus on power systems engineering
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, including electrical engineering, control theory, industrial engineering, electronics engineering, energy policy, data science, and applied mathematics. As part of the Alliance program, your project will be
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permitting participate in physics performance validation activities. What skills are important in this role? The Faculty of Mathematics and Natural Sciences has a strategic ambition of being a leading research
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equivalent) in a science, mathematics or engineering discipline. Applicants without a master's qualification may be considered on an exceptional basis, provided they hold a first-class undergraduate degree
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qualities and suitability. Your workplace This ELLIIT -funded project will be conducted at the Physics, Electronics, and Mathematics (FEM ) division within the Department of Science and Technology (ITN