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to understand cancer outcomes, the planned work will address the need to evaluate data from multiple patient groups that are under-represented in clinical trials, including those from Black, Asian and Minority
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drug and disease research in multiple projects in the group. The candidate is expected to lead a drug development project and support other group projects. This will include lab experiments, analysing
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, an understanding of evolution of foundation models, and a good grounding in multimodal learning, including fusion and alignment. How to Apply Please submit an application via the Queen Mary Portal and upload a copy
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Biology you will be performing laboratory experiments and data analysis to support drug and disease research in multiple projects in the group. The candidate is expected to lead a drug development project
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achieved by combining state-of-the-art algorithms from multiple domains such as evolutionary algorithms, reinforcement learning, and control theory. The main responsibility of the successful applicant will
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own academic research and administrative activities. This involves small scale project management, to co-ordinate multiple aspects of work to meet deadlines. The post will be based in the Department
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close to completion of a relevant PhD. You will manage your own academic research, effectively coordinating multiple strands of work. Direct experience in molecular genetics and/or plant-microbe interactions
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fundamental research Alignment with our core values What we offer The MQO group is young but yet very ambitious research team exploring quantum phenomena in large scale and complex systems, from
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complex research projects involving multiple interdependent components. Experience in programming (python) and applying AI-assisted technologies to streamline research and analysis workflows is highly
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) and the Jores lab (University of Dusseldorf, Germany). Together, we will investigate regulatory sequences and engineer programmable and tuneable gene expression in plants. We will provide a supportive