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Field
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new business models based on distributed storage and dynamic sharing coefficients, integrated into a regulatory sandbox and real-world test environment. Main tasks: Create algorithms to maximize
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and collaborative research using single-cell technologies and molecular, cellular, and circuit manipulations to examine the effects of the human and mouse somatosensory afferents in physiological and
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correlate behavioural variability with neural responses to naturalistic audio-visual stimuli Examine cross-modal interactions between visual and auditory cortices using techniques such as cross-modal decoding
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and collaborative research using single-cell technologies and molecular, cellular, and circuit manipulations to examine the effects of the human and mouse somatosensory afferents in physiological and
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fibre communications and optical components segment. The MATCH methodology includes cross-disciplinary methods and practical experience for all DCs by granting access to top laboratory and test-bed
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the implementation and testing of algorithms. * Strong programming skills in R or Python. * Familiarity with data science and visualization libraries in R or Python. * Experience with GitHub, conda environment and
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integration of genomics, proteomics, epigenomics and transcriptomics from these models alongside extensive human tumour collections. You will be PhD-qualified, or have submitted your PhD thesis for examination
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performance. Experimental Validation: Conduct laboratory testing of fabricated PICs connected with off-the-shelf components to validate the proposed concepts. Team-based Collaboration: Work closely with experts
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Analyse recorded animal behaviours throughout experimental trials and correlate behavioural variability with neural responses to naturalistic audio-visual stimuli Examine cross-modal interactions between
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, you will examine the economic impact of various policy measures on agricultural businesses, supply chains, or broader economic systems. There are opportunities across multiple teams, so we can explore