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at the Barts Cancer Institute (Queen Mary University of London). This role will involve analysing existing spatial-omics data sets and developing novel computational tools to understand the risk of developing
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We are seeking a Postdoctoral Research Assistant to join a new Oxford-GSK partnership focused on biostatistics and artificial intelligence (AI) for application in medicine. With a cross-departmental base, the partnership will bring together the University of Oxford’s expertise in statistics,...
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administrative tasks in research, teaching and administration. This is part of your personality: PhD degree in analytical, biological, food, or computational chemistry, biotechnology or related field Experience in
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. You will be responsible for managing your own academic research, collaborating with computational and clinical researchers, and contributing to the scientific development of the lab. This is an exciting
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programmes. Applicants will be able to work to agreed timelines and milestones and maintain excellent written records and excellent interpersonal skills to coordinate activities with the other team members
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. You will manage, plan and conduct research with Dr Sollini’s leadership, resolve problems that arise, write up your research findings and work closely with other people within the lab. There is also the
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provide appropriate support. Our commitment to inclusivity includes mentoring programmes, accessibility resources, and professional development opportunities to empower and support underrepresented groups
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. Excellent IT skills. Ability to work collaboratively as part of an interdisciplinary team. Ability to plan and organise own work. Ability to adapt to changing situations in a timely manner within scope and
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An interest in outreach across policy and civil society and making computation methods accessible. Desirable criteria Experience with independent system dynamic modelling (e.g. not using software such as Vensim
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PREVIOUS APPLICANTS NEED NOT TO APPLY! We are seeking to appoint a Senior Postdoctoral Researcher in Genomics of Myeloid Disorders to join the computational genomics group led by Prof Schuster