483 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "U.S" PhD scholarships in United Kingdom
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to work with Florian Hollfelder at the Biochemistry Department of Cambridge University (https://hollfelder.bioc.cam.ac.uk/ ). The project is part of the Horizon Europe Eu Marie Curie Network MetaExplore
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information from the Doctoral College website: https://www.herts.ac.uk/research/research-degrees-and-doctoral-college Interviews will take place: April 2026 (exact dates TBC) For informal enquires please email
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Modelling (WCPM) . Find out more about the research group at https://koczorbenda.wordpress.com/ Requirements and eligibility: Applicants must have, or be predicted to obtain, a good degree (2.1 or 1st class
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an academic that has supervised previous work, projects or similar), A short research proposal using this template: https://www.overleaf.com/read/bffndqvvkzcv#a53b9d (this template can be copied or downloaded
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for the academic year 2025/26) University fees and bench fees: The studentship covers bench fees, stipend, and tuition fees. Visa and associated costs are not funded. International applicants can visit https
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: 30 | Collective bargaining agreement: §48 VwGr. B1 Grundstufe (praedoc) Limited until: 31.01.2030 Reference no.: 5037 We invite you to join the Operational Quantum Information Team (Dakić Group
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(Master / PhD / Postdoc). Our expertise lies in quantum foundations, quantum information theory and quantum technologies. For additional information, please visit: https://dakic.univie.ac.at/ . Your future
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20 Dec 2025 Job Information Organisation/Company King's College London Research Field Computer science Engineering Mathematics Physics Chemistry Researcher Profile Recognised Researcher (R2) First
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Dr Keeler's personal page https://www.birmingham.ac.uk/staff/profiles/maths/keeler-jack Funding notes: This project is directly funded, through the School of Mathematics for a suitably strong candidate
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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