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computational frameworks that combine 4D point cloud data, geospatial analysis, and advanced ML/DL algorithms. Integrate dynamic environmental datasets into immersive and interactive prototypes for scenario
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genetic tools, based on allosteric transcription factors and to employ these tools to fine tune the expression/metabolic flux in suitable production host. In particular, tools for sensing intermediates and
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relevant PhD, or nearing completion, in a related field of study. Experience in Aspergillus cultivation and genetics, Galleria mellonella virulence model as well as microscopy are essential. Cell culture
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on the perturbation of skeletal muscle cells (myofibres) during periods of environmental and/or genetic influence (ageing, amyotrophic lateral sclerosis, sex differences…) and in the analysis of single myofiber data
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that surround the developing embryo in plants. We are mainly working with the model liverwort Marchantia polymorpha, for which we have developed extensive genetic tools, but will extend this to several other
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) during periods of environmental and/or genetic influence (ageing, amyotrophic lateral sclerosis, sex differences…) and in the analysis of single myofiber data sets. Importantly, the candidate will be
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is developing cutting-edge research on all aspects of computational imaging, from theory and algorithms, to applications in astronomy and medicine. Dr Wiaux is a Professor in the School of Engineering
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new collaborations within the centre. You must hold a PhD (or near completion) in statistical genetics, functional genomics, computational biology, or a related field together with proficiency in
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Role Description Department We are seeking an experienced mathematical modeller. Our group is developing a range of advanced genetics-based methods for controlling mosquito-borne diseases, based
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About us: At the Department of Physiology Anatomy & Genetics (DPAG) we undertake discovery science where we reassemble physiological processes at the molecular, cellular, tissue and systems level