483 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "UNIV" PhD scholarships in United Kingdom
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to the analysis of time series. In particular, the project will examine and develop methods that go beyond the Markovian paradigm. It will consider a range of time series data, focusing on those that show
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) on this 4-year position, you will be part of the research group “Quantum Information Science and Quantum Computation”, led by Univ.- Prof. Dr. Philip Walther. The group is part of the Quantum Optics, Quantum
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100 members is part of the Faculty of Earth Sciences, Geography and Astronomy at the University of Vienna. The research group “Data science in Astrophysics & Cosmology” is looking for three highly
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Research theme: Control Engineering, Robotics How to apply: https://uom.link/pgr-apply-2425 UK only This 3.5-year PhD studentship is open to Home (UK) applicants. The successful candidate will
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at the Faculty of Life Sciences seeks to appoint a pre-doctoral researcher with expertise in archaeology/archaeological science and to work with Associate Professor Katerina Douka (https://doukalab.univie.ac.at
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Environments - https://cradlerobotics.co.uk/ ) and will work closely with Work Package 2 (Architectures) and Work Package 5 (Demonstrators). With support from the CRADLE team, the project will further refine and
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, preferably at Masters level (in exceptional circumstances a 2:1 degree can be considered). To apply visit: http://www.nottingham.ac.uk/pgstudy/apply/apply-online.aspx For any enquiries about the project please
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funded. International applicants must demonstrate in their application how they will fund shortfall in fees by other means (personal funds,l or other grant); International applicants can visit https
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overseas. Training can be provided in computational fluid dynamics, machine learning, and nonlinear dynamics. These skills are highly valued across a wide range of industries. Recent data reveals that Fluid
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-making autonomy and human-machine teaming. The use of logic and data to make decisions, solve problems, and learn. Moving from rule-based systems to agents with strategic flexibility. The range and