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, or a related discipline, and must have a strong research track record, experience with cell culture model systems, proficiency in flow cytometry, confocal microscopy or other advanced imaging techniques
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For this challenging research, we are looking for brilliant and energetic individuals who are motivated in experimental, low-temperature quantum physics. We require the candidates to have a proven track record in
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phase peptide synthesis. Demonstrated track record of high-quality research, as evidenced by publications in reputable journals. Excellent communication skills and experience of writing up research
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practitioners or policymakers. An existing track record of publications in a relevant area (commensurate with career stage). Excellent IT, data management, and organisational skills. Strong interpersonal skills
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connected large wind energy system dynamic modelling, control and analysis. In particular, the objective of this research programme is to lay the foundations of a new, model and methodology for Advanced wind
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, including next generation sequencing is essential. The successful candidate will be highly motivated and enthusiastic with an outstanding academic track record, good communication skills and the ability
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for the Research Associate, Grade 7 level, position must have a PhD in a quantitative biology discipline, statistics or machine learning along with a proven track record of research using statistical modelling
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the personal requirements Determine appropriate methodologies for research, with advice and support where required Contribute to grant applications submitted by others and in time develop own research objectives
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writing skills Evidence of publication track record Extensive experience and expertise in version control (e.g., Git) and reproducible research practices * Please note that this is a PhD level role but
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objectives and proposals. · To conduct individual and collaborative research projects under the direction of the Principal Investigator or Grant-holder. · To work with the Principal