55 computational-physics "https:" "https:" "https:" "https:" "Simons Foundation" Fellowship positions at University of Birmingham
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the Department of Applied Health Sciences and will support the delivery of the NIHR Research Professorship awarded to Professor Joht Singh Chandan (NIHR306365, https://fundingawards.nihr.ac.uk/award/NIHR306365
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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
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flagship investment funded through a strategic programme award by Cancer Research UK , the National Institute for Health and Care Research (NIHR), Engineering and Physical Sciences Research Council
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Job Description Position Details School of Chemistry, College of Engineering and Physical Sciences Location: University of Birmingham, Edgbaston, Birmingham UK Full time starting salary is normally
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innovative modelling methodologies, generate high quality computational and analytical insights, and translate these findings into improved process understanding and industrially relevant solutions. The role
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closely with civil engineers, computational modellers, physicists, and geophysicists to organise trials addressing scientific research questions. Work with asset owners will also concentrate on determining
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devise and implement a new and/or revised process (e.g. new programme or a recruitment drive) Advise on personal development Contribute to administrative activities within the University (e.g. appeals
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on the material streams. A truly interdisciplinary project within the College of Engineering and Physical Sciences, this post will work closely with other researchers in Chemistry, Chemical Engineering and
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within the College of Engineering and Physical Sciences, this post will work closely with other researchers in Chemistry, Chemical Engineering and Metallurgy and Materials as well as collaborators
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to translate these findings into an industrially relevant recycling process. The work will investigate the relationship between feedstock format, reaction conditions, and product yield through systematic