61 computational-physics "https:" "https:" "https:" "https:" "INRAE" Fellowship positions at University of Birmingham
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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
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recycling processes developed within the ReLiB consortium, providing comparisons between alternative processes and considering the suitability of each process to end-of-life (EoL) battery materials. In
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Job Description Position Details School of Metallurgy and Materials, College of Engineering and Physical Sciences Location: University of Birmingham, Edgbaston, Birmingham UK Full time starting
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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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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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the ability to act on their own initiative, excellent quantitative skills, including programming (e.g., Matlab and R) for the design and analysis of experiments. Experience in using computational modelling