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Field
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of Physics (Ref.: 532531). Applicants should possess a Ph.D. degree in Condensed Matter Physics. Experience in numerical techniques and analytical field-theoretical approaches is desirable. Applicants who
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in Condensed Matter Theory in the Department of Physics (Ref.:532123), to commence as soon as possible for 12 months, with the possibility of renewal subject to performance and funding availability
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varying carbon content and execution of solid-phase hot extrusion trials. Responsibilities include optimizing process parameters to improve composite quality and performance. The role also involves
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PhD in Inorganic or Materials Chemistry or a relevant subject area, (or be close to completion) prior to taking up the appointment. The research requires experience in synthetic inorganic/materials
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, provided at the bottom of the next page after you click “Apply Now”. This document will provide information of what criteria will be assessed at each stage of the recruitment process. Further Information We
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this role, we are looking for candidates to have the following skills and experience: Essential criteria PhD qualified in relevant subject area* Experience developing deep learning segmentation models
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amine‐based aqueous solvents as well as other solvents such as chilled ammonia, potassium carbonate solutions, demixing (phase‐change) solvents, non‐aqueous solvents, ionic liquids and others. The CERE
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skills and experience: Essential criteria PhD qualified in relevant subject area* Experience developing deep learning segmentation models Experience with Pytorch, MONAI, CUDA or equivalent software
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project is time limited and will end on 31/12/2027. Person Specification Essential Criteria: Qualifications A good first degree in an Engineering related subject. A PhD (or be close to submission) in Marine
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field such as psychology, mental health, behavioural science, digital health, or a related discipline Experience working with quantitative data and relevant software for data management and analysis (e.g