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meet the following essential criteria: Have or about to obtain a PhD degree in Computer Science, Computational Biology or other relevant discipline (*must be obtained within 3 months of commencement of
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to the Director of the HAB and working in close partnership with the Spatial Biology Facility, you will lead the development and optimisation of high-resolution spatial biology and multi-omics data analysis
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-cell genomics/computer science (AI), neuroscience, vascular biology, developmental biology, cancer biology, immunology, biology/biomedicine, pharmacy, biomedical engineering, or related fields with ample
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to 31 March 2027. The successful applicant will carry out experimental and computational work related to this project. The post will include the following duties: To undertake research, to act as research
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. Person Specification First degree in area of specialism and normally, a higher degree (PhD or near to completion) in Biophysics/ Biochemistry/ Chemistry/Chemical Biology/ Structural Biology or related
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years. The successful candidate will have experience with cancer drug development, handling computational biology, proteomic and transcriptomic data, working with patient and animal-derived primary cell
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. Person Specification First degree in area of specialism and normally, a higher degree (PhD or near to completion) in Biophysics/ Biochemistry/ Chemistry/Chemical Biology/ Structural Biology or related
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-quality teaching. The Hub for Applied Bioinformatics (HAB) is the Faculty’s focal point for computational biology, delivering bespoke bioinformatics support and training across genomics, transcriptomics
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-quality teaching. The Hub for Applied Bioinformatics (HAB) is the Faculty’s focal point for computational biology, delivering bespoke bioinformatics support and training across genomics, transcriptomics
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PhD (or near to completion) in relevant subject area (structural biology or biophysics) High level analytical capability Ability to communicate complex information clearly Fluency in relevant models