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Field
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economic evaluation and analysis plans, conducting economic modelling and secondary data analysis, synthesising evidence, and producing high-quality research outputs. You will work closely with NHS and other
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such as network analysis in 3D genome regulation that integrate diverse biological information, including transcription factor (TF)–DNA interactions, epigenetic features, and 3D genome organization
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Research Fellow to join our multidisciplinary team aiming to develop the next generation of metal multimaterial additive manufacturing. The successful candidate will work on the development of a novel laser
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. Proficiency in hydrodynamic modeling tools (e.g., ANSYS AQWA, OrcaFlex) and finite element analysis software (e.g., Abaqus, ANSYS). Experience with stability and mooring system design. Strong analytical skills
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Life Sciences fields. Experience in RNA-based methodology such as RNA isolation, quality control, gene expression analysis, RNA sequencing, or related approaches. The ability to work both independently
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economic evaluation and analysis plans, conducting economic modelling and secondary data analysis, synthesising evidence, and producing high-quality research outputs. You will work closely with NHS and other
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, results and indicators; • Monitoring of results and indicators — collection, processing and analysis of information relating to the project’s scientific and technological results, with a view to monitoring
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education and training of Pharm.D. graduates. A key element of the program’s success is preparing Fellows to meet evolving workforce needs across various sectors of the pharmaceutical industry. Fellows have
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interpretable machine learning framework that integrates diverse biological data—including transcription factor (TF)–DNA interactions, epigenomic features, and three-dimensional (3D) genome organization
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such as network analysis in 3D genome regulation that integrate diverse biological information, including transcription factor (TF)–DNA interactions, epigenetic features, and 3D genome organization