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electron laser facilities. Contact: For informal enquiries please contact Sam Hay (Sam.Hay@manchester.ac.uk ) or Mike Hough (michael.hough@diamond.ac.uk ). https://www.manchester.ac.uk/research/sam.hay https
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(https://www.nottingham.edu.cn/en/humanities-and-social-sciences/schools-and-department/education-and-english/home.aspx ). For PhD application information and support within the areas of Education and
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have a PhD in physics, biology, or a related field by the time of appointment. The ideal candidate will also have demonstrated experience in machine learning and biological data analysis and a strong
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year (renewable) Appointment Start Date: June 1, 2026 (flexible start date) Group or Departmental Website: https://butzindozier.com (link is external) How to Submit Application Materials: Please email
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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | 9 days ago
Framework Programme? Not funded by a EU programme Reference Number 2026-09907 Is the Job related to staff position within a Research Infrastructure? No Offer Description This PhD is a Cifre thesis in
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monitoring Generic scientific area: Environment Engineering, or similar. Specific scientific area: Environment Engineering, or similar. Where to apply Website https://www.ipc.pt/bupc/concursos/form
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INESC COIMBRA - INSTITUTO DE ENGENHARIA DE SISTEMAS E COMPUTADORES DE COIMBRA | Portugal | 4 days ago
support from FEDER and national funds through FCT, I.P., under the following conditions: Scientific Area: Energy Admission requirements: Holders of a PhD degree in Electrical and Computer Engineering, Civil
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(R1) Positions PhD Positions Application Deadline 27 Mar 2026 - 16:00 (Europe/Dublin) Country Ireland Type of Contract Other Type of Contract Extra Information N/A PhD scholarship Job Status Full-time
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-coupling at the Large Hadron Collider (LHC) with the ATLAS experiment, and in contributing to the R&D of a future detector for the Future Circular Collider electron-positron collider (FCC-ee). The candidate
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methods that can accurately model such processes remains an open and active research frontier. This PhD project is fundamentally about advancing that frontier, contributing new methods for generative