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Field
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training of students and international partners. They will also engage actively with external collaborators. The Person A PhD in a relevant discipline (e.g., microbiology, genomics, bioinformatics) Proven
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part in evaluation measures and quality assurance. You take on administrative responsibilities in research and teaching. This is part of your personality: Completed doctoral/PhD studies in the field
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are seeking highly-motivated researchers holding or near completion of a PhD in a relevant biological or life sciences subject. The ability to develop independent insights into the project, solve complex
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should have a PhD (or close to completion) in Physics, Planetary Sciences or Earth Sciences. It will be an advantage to have experience in remote sensing, analysis of thermal data, thermal modelling
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papers; presentation of research at conferences. Assist the development of student research skills, and be expected to contribute to the assessment of student knowledge (particularly PhD students) in
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neurophysiological mechanisms shape political attitudes and behaviour, as well as how politics shapes and exploits our affect and emotions. This Fellowship is addressed to early career researchers with a PhD in
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. The salary for this post is at Grade UE07: £40,497 to £48,149 per annum, pro-rata if part-time. Your skills and attributes for success: PhD (or near completion) in a relevant field. Strong coding skills in
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have prior experience in bioinformatic analysis as described in the job description. The post holder provides guidance to junior members of the research group including research assistants, PhD students
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development. The ideal candidate will have a PhD in a relevant biological subject, together with experience in molecular biology, cell biology and immunology. Familiarity with flow cytometry, vascular biology
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development. The ideal candidate will have a PhD in a relevant biological subject, together with experience in molecular biology, cell biology and immunology. Familiarity with flow cytometry, vascular biology