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help supervise associated PhD students. The successful candidates will join large, supportive research teams led by Profs Knight, Screen and Connelly all working collaboratively at Queen Mary. This is an
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the field. Excellent organisational and interpersonal skills are required to ensure success in liaising with a large and diverse research team: PhD in Organic Chemistry or a related field. Strong background
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interpersonal skills are required to ensure success in liaising with a large and diverse research team: PhD in Organic Chemistry or a related field. Strong background in synthetic organic chemistry, and/or solid
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Experience in statistical or scientific programming (ideally R and/or Python) Experience in analyzing large and/or complex datasets Interest in quantifying uncertainties for computer models and/or climate
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will plan and conduct experiments, generate high-quality data, prepare publications, make presentations and help supervise associated PhD students. The successful candidates will join large, supportive
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interpersonal skills are required to ensure success in liaising with a large and diverse research team: PhD in Organic Chemistry or a related field. Strong background in synthetic organic chemistry, and/or solid
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, Research and Teaching Technicians, Teaching Fellows and AEP equivalent up to and including grade 7. Visit the Centre for Research Staff Development for more information. About You To be successful in
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Python) Experience in analyzing large and/or complex datasets Interest in quantifying uncertainties for computer models and/or climate predictions Ability to work in a team Ability to communicate orally in
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About the Role We are seeking to recruit an outstanding lab-based molecular biologist with or about to receive a PhD, who has experience in development and application of next-generation sequencing
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to analyse datasets Experience in statistical or scientific programming (ideally R and/or Python) Experience in analyzing large and/or complex datasets Interest in quantifying uncertainties for computer models