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analysis software (e.g., STATA, R, SPSS) and experience working with health-related data will be advantageous. The ability to work independently, manage multiple tasks, and communicate findings clearly is
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connectivity of the broader community, training, networking, as well as state-of-the-art research. This post will develop artificial intelligence methods for the prediction of crystal structure, the critical
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shared, stated values help to define who we are and underpin everything we do: Ambition; Impact; Respect; and Community. Find out more here . We aim to create and maintain a culture in which everyone can
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to work on your own initiative and apply for new research projects. You will work with internal and external networks of researchers to foster research collaborations, to identify and deliver common
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connectivity of the broader community, training, networking, as well as state-of-the-art research. This post will develop artificial intelligence methods for the prediction of crystal structure, the critical
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simulation with PSpice, LTspice, or equivalent is an advantage. Experience with developing software for instrument control and data acquisition using LabVIEW is helpful. Key Competencies Strong experimental
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data Ability to mentor and develop bioinformaticians at all stages of the analysis project workflow Desirable criteria Excellent computational skills applied to HPC, big data, software development and
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in accordance with the project deliverables and project strategy. 2. Characterisation of completed models and software and the documentation of research output including analysis and interpretation
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extensive links with industry. You can find further details on the Centre or on the icing test facilities on our website. Our Values and Commitments Our shared, stated values help to define who we are and
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research or industry experience will also be considered. Good statistical and analytical skills are necessary, ideally with the ability to work in R and experience with bioinformatic tools/software. Coding