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research areas in CDB include animal development, stem cell biology, functional and evolutionary morphology, neuroscience, organelle biology and cell signalling. The Department is home to several centres
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lead the design, statistical optimisation and validation of assays for clinically relevant bladder cancer targets. Their central objective will be to develop an algorithmic workflow to detect new target
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rapid, targeted gene evolution while preserving host viability, enabling us to study fundamental evolutionary processes and develop new molecular solutions for problems in the areas of health and
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algorithms for automated driving. You could also develop your own research portfolio by supervising MSc individual research projects aligned with the Centre’s research themes. You will be expected
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collaboration that uses AI algorithms to recommend and coordinate experiments across distributed laboratories. Your work will focus on the synthesis and characterisation of AI-recommended conjugated materials
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developing/adapting computational models or algorithms to analyse biological data, and experience with single cell or spatial omics datasets or knowledge of cancer biology would be an advantage. What we offer
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successful candidate will contribute to the EU projects (with funding support from Innovate UK and UKRI), which aim to develop wireless communication optimisation algorithms for digital healthcare applications
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-structures. Develop numerical algorithms and computer codes that can be used to model nonlinear optical effects pertaining to light-matter interaction. Validate the theoretical models and software tools by
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, Skills and Experience: Completed a PhD in a relevant field (e.g., synthetic biology, bioengineering, genetics, molecular biology, evolutionary biology, computational biology and AI, cell biology, genomics
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Inverse Methods and Ionospheric Modelling Research Fellow - School of Engineering - 106995 - Grade 7
, international collaboration, and data crawling Develop algorithms to process and clean large and diverse ionospheric datasets. Share research findings through publications, research seminars, etc. Guide and