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Description of the offer : To further advance and refine novel techniques—such as x ray detected ferromagnetic resonance (XFMR) with polarized soft x rays in reflectivity and diffraction geometries—to investigate magnetization dynamics. The goal is to precisely resolve the static and layer...
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Salary: £35,116 to £45,413 per annum Newcastle University is a great place to work, with excellent benefits . We have a generous holiday package; plus the opportunity to buy more, great pension schemes and a number of health and wellbeing initiatives to support you. Closing Date: 25 July...
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50 Faculty of Life Sciences Startdate: 01.08.2025 | Working hours: 40 | Collective bargaining agreement: §48 VwGr. B1 lit. b (postdoc) Limited until: 31.07.2031 Reference no.: 4188 At the University
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49 Faculty of Social Sciences Startdate: 01.09.2025 | Working hours: 40 | Collective bargaining agreement: §48 VwGr. B1 lit. b (postdoc) Limited until: permanent Reference no.: 4032 Explore and
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74 Max Perutz Labs Startdate: 01.06.2025 | Working hours: 40 | Collective bargaining agreement: §48 VwGr. B1 lit. b (postdoc) Limited until: permanent Reference no.: 4036 Explore and teach
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POSTDOC POSITION IN ADVANCED COATING OF LFP MATERIALS – IN COLLABORATION WITH THE UNIVERSITY OF WATERLOO, CANADA 12772 We are seeking a highly motivated Postdoctoral Research Associate (PDRA
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Applications are invited for a fully funded fixed-term at the Research Assistant / Associate (PostDoc) level in high performance computing for computational fluid dynamics applications. High
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Location: South Kensington campus, hybrid working About the role: Applications are invited for a fully funded fixed-term at the Research Assistant / Associate (PostDoc) level in high performance
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project aims to address the current limitations of traditional frame-based sensors and associated processing pipelines with a new family of algorithmic architectures that mimic more closely the behaviours
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the coordination of large-scale robot systems (ground and aerial). The ideal candidate will possess hands-on experience with designing and implementing reinforcement learning algorithms, and deploying them onto real