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Job Details Under the guidance of Dr Syed Haider, we are seeking to recruit a highly motivated researcher to apply and develop computational approaches for investigating genomic and transcriptomic
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Previous supervisory or managerial experience Previous experience working as part of a broad collaborative project Familiarity with cloud technologies (Docker, Kubernetes) Experience with high-performance
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familiarity with Deep Learning, including PyTorch would convey a significant advantage. They will have access to our in-house GPU-enabled High Performance Computing platform as well as national HPC resources
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interpretation of the implication of genetic variation within those disorders. The post holder will have access to cutting-edge high performance computing facilities and expertise. They will join an active
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selected candidates. This is a high-impact role with the potential to shape the future of rare disease research. Join us to push the boundaries of what’s possible in computational biology and personalised
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and disciplines and instead have an open approach that supports every researcher. This gives us the freedom to take risks and carry out high-quality, pioneering research. Creating a space for discovery
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plungers, vacuum evaporator, glow-dischargers and plasma machines. The microscope data servers are connected to Crick central computing which provides capacity for EM data storage and high-speed processing
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, and access to leading high-performance computing facilities. • The valuable opportunity to join a cohort of innovative scholars collectively shaping the future of AI, through the cross
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that supports every researcher. This gives us the freedom to take risks and carry out high-quality, pioneering research. Creating a space for discovery without boundaries helps us to turn our science into
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stakeholders of any background, seniority or level of experience; A high level of computer literacy including knowledge of and experience with Office applications and Google Workspace Excellent organisational