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. Experience of working with industry partners and collaborative working will be extremely valuable but is not essential. Similarly, prior experience with spatial biology, omics or bioinformatics would be
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experience: Essential criteria PhD awarded in genetic epidemiology, statistical genetics, bioinformatics or related discipline Postdoctoral research experience in genetic epidemiology, statistical genetics
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Experience in bioinformatics analysis Experience in the strain isolation and cultivation of pure cultures *Applicants who are about to submit their PhD thesis or are awaiting their viva are welcome to apply
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adjustments or a more accessible format to apply for this job online or have any queries about the application process, please contact Biosciences staffing. About you You must have a PhD in bioinformatics
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at . About you You must have a PhD in bioinformatics, biosciences, computational biology, computer science, data science or a related subject area and proven knowledge of python programming, developing machine
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. Experience with the tools of bioinformatics, molecular biology and/or nucleic acid biochemistry is essential. You should be eager to learn new skills and systems, and should have effective communication
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are a skilled and enthusiastic R programmer with a strong background in bioinformatics or computational statistics, capable of maintaining and extending complex software packages while collaborating
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a dynamic team that employs cutting-edge models - including iPSC-based cell biology, screening, biochemistry, genomics, imaging, and bioinformatics - to uncover new mechanistic insights into genes
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/recalcitrant pollutants Experience in bioinformatics analysis Experience in the strain isolation and cultivation of pure cultures *Applicants who are about to submit their PhD thesis or are awaiting their viva
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and greenhouse gas emissions associated with cold storage of tubers. About You You will be educated to doctoral level in remote sensing, agricultural engineering, geospatial science, bioinformatics