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are recruiting an enthusiastic and collaborative post-doctoral research associate with expertise in formal methods, machine learning, control theory, numerical analysis, or a related discipline, with a strong
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collaboration with the Core Facilities, and MCMC. Duties will include design of experiments, data analysis, presentation of work and preparation of papers for publication, as well as some supervision of students
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, which you will lead, under the supervision of Prof David Wedge. Collectively, the team has expertise in the analysis of multilevel omic and imaging data; data integration and machine learning; and risk
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established behavioural tests. Post-mortem analysis will include immunohistochemistry and RNA sequencing to identify candidate treatments targeting menopause-sensitive vasodilation pathways. Full training will
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spectroscopy) Conducting behavioural testing for cognitive function Post-mortem analysis (e.g. immunohistochemistry, RNA sequencing) to identify candidate treatments targeting menopause-sensitive vasodilation
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of devices; has a strong interest and expertise in experimental applied physics; exhibits data analysis skills and familiarity with standard scientific programs (e.g. Matlab, Origin, Mathematica or similar
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electronic circuits to the analysis and control of complete energy conversion systems and utility networks. Applications of particular interest include the active management of power networks including smart
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-depth qualitative analysis, including case studies, questionnaires, interviews, and workshops with policymakers and relevant stakeholders. We are specifically looking for someone with research experience
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, OOMMF or similar) Has experience of research in spintronics, magnetic materials and/or devices Exhibits data analysis skills and familiarity with standard scientific programs (e.g. Matlab, Origin
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analytical, creative and pragmatic problem-solving skills. Has the ability to use reporting systems to produce data sets and packs which can inform analysis and insights. Can use excel and PowerPoint