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. The research will involve developing analytical models, performing large-scale numerical simulations of open quantum systems, investigating decoherence and noise processes, and exploring new architectures and
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handling, sterile formulation preparation, and physicochemical characterisation. Experience of using analytical tools and software relevant to formulation science, such as HPLC data analysis, spectroscopy
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to build ‘design-build-test-learn’ pipeline through computational design and experimental validation. About you PhD (or in the final stages of PhD submission) in computational biology, evolutionary genomics
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Python. Familiarity with behavioural health interventions and behavioural nudges. Excellent data analytics and econometric skills; proficient in programming and in Stata and R. Some experience with
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, and other project-related activities as required. Job Requirements: PhD qualification in Human-Computer Interaction, Cognitive Science, Human Factors, Air Traffic Management, Transport, or other related
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and computational analytical capability for drug discovery-based research using multi-omics data analysis. This role offers the opportunity to contribute to a uniquely integrated research environment
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research objectives and proposals for own or joint research, with assistance of a mentor if required Contribute to writing bids for research funding Analyse and interpret data Apply knowledge in a way which
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analytical capability Ability to communicate complex information clearly Fluency in relevant modelling tools, techniques or methods and ability to contribute to developing new ones Ability to assess resource
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and positive-negative separation. Design and validate assays for single-nucleotide variants and low-abundance variant alleles in a wild-type DNA background. Characterise analytical performance
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control strategies for grid-forming converters and converter-dominated power systems. Perform experimental testing, data analysis, and performance evaluation of power electronic converter systems. Develop