12 parallel-processing-bioinformatics-"https:" positions at QUEENS UNIVERSITY BELFAST
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advanced quantitative analyses, lead scientific reporting, and participate in the ethical and governance process of collaborative epidemiological research. Working within an active multidisciplinary team
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response of a bacterial pathogen to antibiotics is currently not clear. The appointee for this position will study the ecological and evolutionary processes that drive the rise and fall of antibiotic
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to apply Website https://www.timeshighereducation.com/unijobs/listing/406233/lecturer-in-account… Requirements Additional Information Work Location(s) Number of offers available1Company/InstituteQUEENS
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or made permanent subject to availability of funding. Where to apply Website https://www.timeshighereducation.com/unijobs/listing/406542/medialab-technician… Requirements Additional Information Work
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applicable, desirable criteria listed in the Candidate Information on our website. Where to apply Website https://www.timeshighereducation.com/unijobs/listing/405709/clinical-lecturer-i… Requirements
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document on our website. Where to apply Website https://www.timeshighereducation.com/unijobs/listing/406565/lecturer-in-games-t… Requirements Additional Information Work Location(s) Number of offers
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. Negotiating and Influencing at Senior level. Demonstrable experience of significant responsibilities within a proposal / bid process and contributing to multi-disciplinary teams, as well as identifying suitable
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the ethical and governance process of collaborative epidemiological research. Working within an active multidisciplinary team, the Research Fellow will be integral to planning, executing, and disseminating key
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associated guidance, procedures and training. Maintain oversight of the University's external examiner process. Provide professional and specialist advice on academic regulations and quality assurance
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Science, Computer Engineering, Electronic Engineering (or related disciplines). A strong record of research quality, commensurate with career stage in AI, including but not limited to: machine learning, deep learning