15 parallel-processing-bioinformatics research jobs at University of Newcastle in United Kingdom
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) and short read (Illumina) technologies. Furthermore, you will facilitate the bioinformatic analysis of the data with support from bioinformaticians and biostatisticians within the group
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the assay and development of the bioinformatic pipelines. In addition, they will lead on the processing of samples, transfer of samples/data to/from the commercial company and performing independent
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Experience working with in vivo models (Desirable) Bioinformatics analysis of quantitiative datasets using R (Desirable) Attributes and Behaviour Commitment to team science Openess to continuous learning and
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specifically on tumour metabolic targets. You will develop and support the INSTINCT-MB. programme through the provision of experimental, analytical and bioinformatic expertise. This will include the development
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bioinformatics skills on your own data. What do we need from you? To apply for the position, you’ll provide your CV and a covering letter outlining how you are suitable for the role using examples to highlight how
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analysis) and tumour cell injection (Desirable) Experience of using bioinformatics software and methodologies to analyze multi-omic and therapeutic datasets (e.g. R statistical environment) (Desirable
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stages Analyse qualitative data using appropriate methodologies, contributing to project reports and publications Ensure accurate documentation of data collection processes, including consent and secure
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of patient and public involvement activities An understanding of legal and ethical frameworks relating to privacy and consent processes Desirable Experience of digital health-related research, including data
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-conducting ceramic membranes or molten salts, and, in addition, experience in one of the following: carbon dioxide separation processes; experimental study of gas-solid and/or gas-liquid reactions
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Ability to work unsupervised and on own initiative Flexibility and ability to multitask Consistent and appropriate approach to staff and situations Use of feedback for process improvement and staff