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and practical knowledge of quantitative methods relating to econometrics or epidemiology. For appointment at Grade 7: A3 Normally Scottish Credit and Qualification Framework level 12 (PhD) plus track
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challenges and proposing solutions. E6 Experience with challenging library preparation methods. Desirable F1 Experience using various technical software for sequence data analysis, namely R and Python. F2
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automation of organic and inorganic self-assembling systems . The successful candidate will have a PhD in either inorganic or materials chemistry with some experience of Programming, computer science and
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synthesis by self-assembly and mechanistic analysis. The successful candidate will have a PhD in either inorganic or materials chemistry with some experience of analytics for mechanistic analysis
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in the Job Purpose. A4. Well-developed working knowledge of research methods, technical models, equipment and techniques relevant to the project/discipline as outlined in the Job Purpose, including
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(PhD) in a relevant biological, computational, or statistical discipline in a similar or related role plus track record of emerging independence within a research/professional environment or
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autonomous sensing systems. The project requires experience with setting up sensing hardware, software defined radio systems and other lab equipment for data collection in addition to experience of programming
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a post-graduate qualification such as a Masters (Scottish Credit and Qualification Framework level 11) or PhD (Scottish Credit and Qualification Framework level 12). Or Equivalent professional
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12 (PhD) plus track record of emerging independence within a research/professional environment, or alternatively possess professional qualifications and experience equivalent to PhD level plus
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. Desirable: B1 An awarded (or recently submitted or near completion) PhD in subject specialism or equivalent. Skills Essential: C1 Knowledge of specialist IT software (eg. PyTerrier, SKLearn, Keras, PyTorch