1,838 data-"https:"-"https:"-"https:"-"https:"-"Leeds-Beckett-University" Fellowship positions
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supervision of Honours and HDR students, and facilitate engagement opportunities for HDR supervisees. This is a research focused position. Further information can be found by viewing UQ’s Criteria for Academic
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to writing bids for research funding Analyse and interpret data Apply knowledge in a way which develops new intellectual understanding Disseminate research findings for publication, research seminars etc
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. Collect research data through various research methods including systematic review and co-design focus groups Analyse and interpret data Contribute to writing bids for research funding Apply knowledge in a
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to experimental design, data analysis, and the preparation of research publications, while working collaboratively with researchers across materials science, nanotechnology, and bioengineering. The successful
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Science & Engineering, Chemistry, Electrochemistry, or Data Science/AI with a strong background in materials applications Technical Skills & Knowledge Experience in membrane fabrication and nanomaterials
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Requisition Details GENERAL REQUISITION INFORMATION EEO Statement: UNMC is an Equal Employment Opportunity Employer, including an equal opportunity employer of protected veterans and individuals
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molecular techniques, genomic approaches, and genetic and xenograft mouse models. For more information on the research lab please visit here . As a successful candidate you will: · Design and conduct
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description; A detailed curriculum vitae; 2 published articles or writing samples; and 3 reference letters. We regret that only shortlisted candidates will be notified. For further information about RSIS
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positively in the research activity of the NIHR Mental Health Leadership Award, focusing on children and young people, under the direction of the Mental Health Leader. Data collection and analysis, vital
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, advanced sensing techniques, sensor and operational data fusion, data analytics, and machine learning algorithms for condition monitoring, fault diagnosis, and early fault prediction in electric vessels