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science and FAIR practices (through software, datasets and other research outputs, participation in challenges etc). Familiarity with knowledge engineering methodologies and with semantic technologies, in
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to answer pressing biological questions across development, cancer and immunology. We work shoulder-to-shoulder with biologists, clinicians, engineers and data scientists, providing an exceptionally
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to answer pressing biological questions across development, cancer and immunology. We work shoulder-to-shoulder with biologists, clinicians, engineers and data scientists, providing an exceptionally
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for an outstanding, post-doctoral researcher with proven expertise and practical experience in relevant techniques including cell culture, organ-chip models, tissue engineering, and musculoskeletal biology. The PDRA
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—an ambitious, EPSRC-funded initiative led by Dr. Sina Sareh, Academic Leader in Robotics. We are looking for a highly skilled researcher with expertise in robotics, AI, software engineering, or computer science
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focused on integrating synthetic biology, AI, and multi-omics technologies to decode and design gene expression regulation for human cell engineering. About the role We are looking for an ambitious and
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to develop coupled sub-models within a system dynamics framework. Working with colleagues from the Karlsruhe Institute of Technology, the candidate will build a behavioural sub-model using the CRAFTY GB model
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to demonstrate effective and efficient multi-tasking and maintain accurate and up-to-date records. In addition, the applicants should have a high level of proficiency with computer software related to laboratory
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dynamics simulations to recover dynamic strain and flow fields. Candidates should hold a PhD in a relevant biology or engineering discipline and be competent with numerical simulations. We are looking for a
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focused on integrating synthetic biology, AI, and multi-omics technologies to decode and design gene expression regulation for human cell engineering. This role is based in Randall Centre for Cell