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and journals. Mentor graduate students and support research activities within SNAIC. Required Qualifications Applicants should possess: PhD/Ms/BSc in Computer Science, Artificial Intelligence
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/PhD degree in Computer Engineering, Computer Science, Artificial Intelligence, Data Science, Electrical Engineering, or related disciplines. Experience in project management, research administration
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Engineering, who have received recently a PhD degree or passed a viva. Expertise in finite element analysis (especially ANSYS), the skills allowing to create Python-ANSYS interfaces and using machine-learning
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experience relevant to microbiology and computational biology, specifically 16S rDNA microbiome, metataxonomic and transcriptomic analysis. Experience of computational biology and bioinformatics/programming in
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modelling, immunometabolism, and regenerative medicine within a large, well‑funded collaborative programme. About you You will hold a PhD/DPhil or equivalent a relevant discipline along with: Strong hands
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and computational modelling aspects of the project, extending our work on symmetry-protected quantum states in interacting many-body systems and their implementation in superconducting quantum circuits
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fellows and PhD students at the other University project partners. The contract will be for 3 years. The project would ideally suit candidates with an Engineering background with strong mathematical
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Job Description Position Details Department of Applied Health Sciences, School of Health Sciences, College of Medicine and Health Location: University of Birmingham, Edgbaston, Birmingham UK Full
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ideal for a curious scientist with a PhD in Chemistry or Materials Science and technical expertise in organic synthesis and materials characterisation, ideally with experience in photocatalysis
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Industry and enterprise programme Graduation The annual review publication Host an event or conference Conferencing and events Clare Hall has a number of rooms that are available for public hire, allowing