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with different research expertise and supervising current PhD students in the group. About You Candidates should have a PhD (or close to completion) in mechanical engineering, biomedical engineering or
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materials-based heterostructures , where the 2D nanosheets will act as transducers for electrical sensing applications. This will generate a knowledge-based platform to allow us to rationally engineer 2D
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work. The candidate is expected to support current PhD students in the group, write and publish research papers. About You Candidates should have a PhD in mechanical engineering, orthopedic engineering
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qualification/experience equivalent to PhD level in a relevant subject area (physics, engineering, computing science, etc.). You will need as essential skills a good knowledge of C++ and python, familiarity with
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, which has particular strengths in developing new statistical methodology, including methods for missing data and causal inference. The role will involve application and development of statistical theory
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including cell culture, organ-chip models, tissue engineering, and musculoskeletal biology. The PDRA will plan and conduct experiments, generate high-quality data, prepare publications, make presentations and
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close to completion) in Materials Science, Physics, Chemistry, Nanotechnology, Electrical Engineering, or a closely related field, with a strong background in the synthesis and characterisation of 2D
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, relevant experience in computer-based statistical analysis and presentation of results, demonstrated proficiency in a coding language used for data analysis, such as Python or R, strong quantitative skills
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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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& adaptive immunity. Our scientific research spans cellular and molecular biology, immunology, pharmacology, antibody engineering, chemistry and structure-function relationships, as well as bioinformatics