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Computer Engineering, Computer Science, Electronics Engineering or equivalent. Independent, highly analytical, proactive and a team player Excellent teamwork and verbal, written communication skills In-depth
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Computer Science/Engineering or equivalent. Independent, highly analytical, proactive and a team player Excellent teamwork and verbal, written communication skills In-depth research experience in artificial
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software (e.g., Abaqus, ANSYS). Experience with stability and mooring system design. Strong analytical skills and familiarity with data collection instruments and techniques. Excellent communication and
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diagnostics through to large‑scale public health programs. The position combines advanced analytical work with research leadership, collaboration across disciplines, and contribution to competitive funding
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university in material science, civil, chemical engineering or related fields. Familiar with relevant analytical and experimental technique/skills, hands-on experience as well as solid theoretical background
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area with the potential to drive significant improvements in health and healthcare. You will be based within the Leeds Institute for Data Analytics and part of the Leeds Institute for Cardiovascular and
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, spatial metabolomics and mathematical modelling. The post is based within the Centre for Analytical Bioscience (CAB) in the School of Pharmacy at the University of Nottingham. CAB houses extensive
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Strong biochemistry and plant pathology background Strong interdisciplinary and analytical skills Collaborative and proactive working attitude Open and clear communication Research Fellow (PhD level) PhD
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analytical skills and ability to work independently and as part of a team Independent and proactive working attitude Open and clear communication Research Fellow (PhD level) PhD degree in Plant Biotechnology
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of protein chemistry, analytical chemistry for amino acid profiling, polyphenol profile analysis, SDS-PAGE, and protein hydrolysis. Have a degree in Food Science and Technology, or Analytical Chemistry