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supported by the School of Natural Sciences You should have, or be working towards, a PhD or equivalent in biomaterials, bioengineering or a related discipline. Expertise in mammalian cell culture, bioreactor
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experience in computational analysis of proteomic data. The project will use the yeast Saccharomyces cerevisiae as an experimental model relevant to all eukaryotic systems. Applicants should have a PhD (or
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of the catalytic and ion transport properties of new 2D materials. The successful candidate should have already submitted their PhD dissertation in Physics, Chemistry, Material Science or related discipline
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the supervisory team of the PhD student cohorts, supporting their training and development in technical and soft skills. In addition, you will also work closely with industry partners within NDA and
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respiratory medicine. Applicants should have a PhD (or nearing completion) in computer science, biomedical engineering, computational medicine, machine learning, or biomedical data science, with a strong
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in developing new computational algorithm and formulation for generating optimised structure and toolpaths while incorporating the manufacturing constraints. Candidate should have a PhD degree in
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are also available. Applicants must have, or be about to obtain, a PhD (or equivalent) in materials science, physics, or related discipline with experience in the design and conduct of experiments. Some
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developing new computational algorithm and formulation for generating optimised process, toolpath and motion of machines while incorporating the manufacturing constraints. Candidate should have a PhD degree in
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. For further information about the research group, see webpage http://ashokkeerthi.weebly.com/ The successful applicant should have, or be working towards, a PhD in synthetic organic chemistry, polymer chemistry
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networks bridging metadata, text mining and FAIR data principles Contribute to publications, funding bids, and supervision of students You will have: A PhD or equivalent experience in life science or