21 coding-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "Washington University in St" research jobs at University of Birmingham
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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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-record in mentoring and supporting the development of early-career researchers. The profile and research interests of the group may be found at: https://www.birmingham.ac.uk/research/centres-institutes
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discipline *Candidates who have not yet been officially awarded their PhD will be appointed as Research Assistant. Expertise in atmospheric physics and chemistry Enthusiasm for coding of complex atmospheric
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or otherwise) • Lead in translating the developed code into shareable (user-friendly) code for use by students in the Lehman or de Boer groups in the first instance, and then by a wider scientific community via
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their analytical work with numerical simulations coded e.g. in Python, and present their work in written notes and manuscripts, as well as give presentations to the project team and external stakeholders
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experts; (iv) sharing of code with users/testers to ensure rigorous validation/testing and assessment of TRL, including mapping progress towards: (a) Software as a Service, (b) commercial product
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high degree of proficiency • Ability to code at the level of implementing complex proof-of-concept compilers and interpreter prototypes • Familiarity with mainstream proof assistant is not required
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Have or be close to the completion of a PhD in cognitive neuroscience, neuroimaging, experimental psychology, computer science or a closely related discipline. Experience in the design, coding and
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interviews Work with research nurses in participating sites to recruit patients to the study Play a key role in coding and analysing research data, including secondary analysis of data Contribute to public
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into impactful applications in global health. We welcome applicants with training in statistics, applied mathematics, computer science, or epidemiology, especially those with strong quantitative and coding skills