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£26,805 per year, and includes the PANDA DFA training programme as part of the 2026 Cohort (https://www.bangor.ac.uk/panda ). This project is linked to UK National Nuclear Laboratory (UKNNL), who will
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and, secondly, the general qualifications and experiences needed for entry at a particular level. Find out more about the Faculty of Medical Sciences here: https://www.ncl.ac.uk/medical-sciences/ Find
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, Materials Science, or a related discipline. The successful applicant will demonstrate strong interest and self-motivation in the subject and the ability to think analytically and creatively. Good computer
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, signal generators, source-measure units, spectrum analysers, RF measurement equipment, probes, power supplies and related test instrumentation. Undertake optical or microscopic inspection of fabricated
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: procedural or node-based production, AI or machine learning, or technical art. Applicants should have demonstrable programming or scripting experience and the ability to develop and evaluate working software
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are essential, along with the ability to build and extend statistical pipelines. An interest in Bayesian inference applied to biology is also important. A background in computational proteomics or LC-MS/MS
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engineering, or a related discipline. You will have the ability to independently plan and manage a research project, including a research budget and the operational delivery of a 3-year child OPM-MEG research
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found on our homepage at https://schuch.univie.ac.at/ . The start of the contract is November 1st, 2026 or later. The exact starting date is negotiable. Your future tasks: You will actively participate in
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or journal papers. Carry out other duties, commensurate with the grade and remit of the post Person Specification Our diverse community of staff and students recognises the unique abilities, backgrounds, and
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join the internationally recognised EnDROIDS programme (https://endroids.ico2s.org ) and become part of a highly interdisciplinary team of computer scientists, molecular biologists, DNA nanotechnologists