297 coding-"https:"-"FEMTO-ST"-"Prof"-"AMOLF" "https:" "https:" "https:" "https:" "IMEC" positions at University of Sheffield
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ACCE+ DLA Programme: Assessing the role of upland fires in air pollution and public health in the UK
recruitment process, can be found at https://accedtp.ac.uk/, in the ‘prospective applicants’ tab. Project Overview : Importance. Upland fires, driven by climate change and controlled burning, are becoming
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Overview Data Connect (https://sheffield.ac.uk/data-connect ) is a strategic priority initiative by the University of Sheffield and is one of the University’s Centres of Excellence. It has direct
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The position if funded by a Faculty of Science studentship. References https://high-energy-theory.sheffield.ac.uk/open-positions/phd-opportunities View DetailsEmail EnquiryApply Online
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; what we’re looking for (including our assessment rubric); details of financial support, training, and placement opportunities available; and details of our recruitment process, can be found at https
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through model forests. Granular Matter, 22(1), 1–10. https://doi.org/10.1007/s10035-019-0980-9 Zhang, Y., Shen, C., Zhou, S., & Luo, X. (2022). Analysis of the Influence of Forests on Landslides in
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consideration being 31 January 2025. Applications submitted after these dates will be considered for future rounds should positions remain available. Instructions for applying can be found on the website https
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, 16(1), 5396. https://www.nature.com/articles/s41467-025-60943-7 Toutounji, H., Zai, A. T., Tchernichovski, O., Hahnloser*, R. H., & Lipkind*, D. (2024). Learning the sound inventory of a complex vocal
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£32,080 - £36,636 pro rata Work arrangement Part-time - 17.5 hours per week, 0.5FTE Duration Fixed term until 31st August 2027 Line manager Digital Health Hub Manager Direct reports N/A Our website https
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biological, biotechnology and biochemical areas as well as equip you with core data analysis and professional skills that are necessary for bioscience research and related non-academic careers. https
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experience/expertise in transfer learning for SHM data; preferably, kernel-based, neural network and Bayesian. Essential Interview Experience and track record in code writing for engineering problems in e.g