58 programming-"https:"-"FEMTO-ST"-"UCL" "https:" "https:" "https:" "https:" "https:" "CNRS" Fellowship positions at University of Birmingham
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of Applied Health Sciences and will play a central role in delivering the NIHR Research Professorship awarded to Professor Joht Singh Chandan: (NIHR306365, https://fundingawards.nihr.ac.uk/award/NIHR306365
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. For this, experiences in working with artificial flow simulators (flumes) such as the Birmingham EcoLab ( https://www.birmingham.ac.uk/research/centres-institutes/ecolaboratory ) and modelling will be highly desired
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Background To create and contribute to the creation of knowledge by undertaking a specified range of activities within an established research programme and/or specific research project. Specifically
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irradiated materials. This work will be under the supervision of Prof. Enrique Jimenez-Melero, UKAEA Joint Chair in Materials for Fusion (https://www.birmingham.ac.uk/staff/profiles/metallurgy/jimenez-melero
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brain prioritises behaviour when animals face conflicting internal needs and changing environmental demands. This position forms part of the Wellcome Trust Discovery Award programme “Decoding Competition
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-institutional strategic national research programme dedicated to using data to transform our understanding of cancer risk and enable early interception of cancers. It represents a major, multi-million-pound
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Future Leaders Fellowship programme at the School of Physics and Astronomy, University of Birmingham. The position is available for up to three years (until May 2029). The project focuses on nanoscale
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undertaking a specified range of activities within an established research programme and/or specific research project. Role Summary Work within specified research grants and projects and contribute to writing
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positions available Background To create and contribute to the creation of knowledge by undertaking a specified range of activities within an established research programme and/or specific research project
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analytical backbone of the programme. It develops sensor-enabled diagnostic cells, multi-modal data pipelines and hybrid physics-informed machine learning approaches to understand interfacial behaviour during