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developing mathematical algorithms and simulations in MATLAB, in particular with Semidefinite Programming and Sum of Squares and of the analysis and design of feedback control systems using these approaches
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the use of existing medicines by patients and healthcare professionals. You will join a collaborative group (Dr Vincenzo Abbate and Prof David Cowan) within the Institute of Pharmaceutical Science and work
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and related disorders, working with Prof. Darren Monckton. Prof Monckton’s team use human genetic analyses of patient cohorts, and analysis of cell and animal models to define the role of somatic
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world class facilities for synthesising and characterising new coordination clusters supported by novel building blocks. The work will be undertaken in collaboration with Prof. Euan Brechin (https
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. Informal enquiries may be made to Prof. W. Zhang (w.zhang@ljmu.ac.uk ). LJMU values diversity and provides a supportive and inclusive environment where everyone can fulfil their potential. Please note all of
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encouraged to adopt a creative approach to problem-solving, exploring various deep learning techniques. Verification of these models and algorithms will be conducted using benchmark datasets and real-world
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developed goal-sequence generalization task. The project will integrate high-density silicon probe recordings, optogenetics, pharmacology and advanced computational tools to analyse neural algorithms
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interdisciplinary skills in biosciences and the physical sciences in an entirely new area of biology. The post is fixed term for 6 months and the successful candidate will be working with Prof Martin Cann (PI; Dept
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endoscopists through a quantitative and qualitative assessment of the mucosal microstructure. You will be responsible for the algorithm development and implementation of the overall system. It is expected
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type (iv) work with the computational biology team to transfer this information into a AI algorithm that can distinguish neurodegenerative and neuroprotective phenotypes (v) work with colleagues in