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Field
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tissues • The development of computational methods ranging from image processing to machine learning to analyse, segment, model, and quantify large-scale time lapse datasets Main duties
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physiological data, as well as with prior experience in participant recruitment and/or experimental testing. They will hold a PhD in the field of machine learning and prediction/decision modelling or related
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high-throughput screening using genetic and imaging tools. Apply molecular and cellular assays to study inflammatory processes. Analyse integrative omics datasets using bioinformatics and machine
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of what criteria will be assessed at each stage of the recruitment process. * Please note that this is a PhD level role but candidates who have submitted their thesis and are awaiting award of their PhDs
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Discipline: Engineering & Technology, Materials Science, Mechanical Engineering Qualification: Doctor of Philosophy in Engineering (PhD) This project is a collaborative research effort between
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incubator cleaning etc. About You We are seeking a junior postdoctoral candidate, ideally holding a PhD in Immunology or Inflammation biology. Experience of in vivo work, flow cytometry and imaging will be
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Experience in genetics and cloning Experience with advanced bioinformatics tools. High ability to express yourself both orally and in writing. Computer literacy (MS-Office; Imaging Software). Basic experience
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, Mechanical Engineering, and Surgery & Cancer. What you would be doing: The post will support the multispectral imaging theme of the Hub award, and you will be expected to play a key role in developing and
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high-throughput screening using genetic and imaging tools. Apply molecular and cellular assays to study inflammatory processes. Analyse integrative omics datasets using bioinformatics and machine
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their careers in the advanced materials industry. You will have excellent training and development opportunities and take a pivotal role in the process development and production of colloidal quantum dots (CQDs