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Putts; and inflammatory genetics. The successful candidate will support other researchers and MSc/PhD students. They will develop novel scientific questions and lead on the analysis of specific aspects
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to gender—and demonstrated expertise in advanced statistical methods (e.g., multilevel modelling). The successful candidate will work closely with the Principal Investigator, Dr. Verena Klein, a PhD student
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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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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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Fellow is dependent upon having been awarded a PhD; if this is not the case, initial appointment will be at Grade 6B (salary £39,148- £41,833 per annum), with payment at Grade 7 being backdated to the date
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of the research group, including postdocs, research assistants, technicians, PhD and project students, as well as to represent the PI and ISML when required. You will hold a Masters or PhD degree (or be close to
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should have, or be expecting soon to receive, a PhD in Mathematics, or related field, with demonstrated research experience in the mathematical foundations of AI, as well as substantial programming
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of the grant. A postdoctoral research assistant with a completed or submitted PhD in climate change law / policy will be recruited at 80% with remote working available. (It is intended that this will leave time
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You To be successful in this role, we are looking for candidates to have the following skills and experience: Essential criteria PhD in a relevant subject (molecular microbiology, cell biology
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and Shock Mechanics Laboratory. You will be asked to provide guidance to less experienced members of the research group, including postdocs, research assistants, technicians, PhD and project students