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About the role The University of Leicester is proud to be part of the UK Nuclear Deterrence Network, a collaborative initiative with King’s College London and the Royal United Services Institute. As part of this network, we are seeking to appoint a Nuclear Deterrence Fellow to undertake...
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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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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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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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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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properties of Li-rich three-dimensional materials for lithium battery cathodes using density functional theory (DFT), molecular dynamics, cluster expansion, machine learning computational techniques. This work
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density functional theory (DFT) Evidence of independent funding Downloading a copy of our Job Description Full details of the role and the skills, knowledge and experience required can be found in the Job
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of enantiomeric excess. Experience in using/applying density functional theory (DFT) Evidence of independent funding Downloading a copy of our Job Description Full details of the role and the skills, knowledge and
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. Experience in asymmetric synthesis and the determination of enantiomeric excess. 2. Experience in using/applying density functional theory (DFT) 3. Evidence of independent funding
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the development of hierarchical computational materials discovery schemes combining random structure searching, machine learning, atomistic, and density functional theory (DFT) calculations to accurately and