11 structures "https:" "https:" "https:" "https:" "https:" "https:" positions at Nature Careers in United Kingdom
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training and development opportunities including support towards role-related qualifications. Further information about the benefits available can be found at http://www.discover.ukri.org/benefits-of-working
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computational methods for analysis and interpretation of large-scale biological datasets. Experiences in structural homology modelling is not essential but would be advantageous. The post holder will work in a
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of metabolic diversification and metabolic engineering for food and health applications. The role: The successful candidate will investigate the diversity and structure-function relationships of one or more key
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Research Group Leader (6-year Tenure Track) to the Division of Structural Studies. We are seeking to appoint an outstanding scientist with innovative ideas to address long-term fundamental biological
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properties. Collaborate closely with microbiologists, biochemists and structural biologists to guide compound design and interpretation of biological data. Contribute to biophysical assays and/or DEL screening
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of molecular motors (myosins and kinesins) and the cytoskeleton (actin, septin and microtubules) during vaccinia virus egress. This work will employ a combination of biochemical, structural and cellular
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structure and function. The candidate will conduct a research project in applying new automated approaches to connectome mapping at scale to many brain volumes of both wild-type and disease models in fruit
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Please apply here: https://apply.workable.com/ellison-institute-of-technology/j/91F1A5719B/apply/ Led by a world-class faculty of scientists, technologists, policy makers, economists and
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the mechanism of co-transcriptional splicing. The project aims to understand the mechanism of crosstalk between the transcription and splicing machineries using a combined biochemical and structural approach with
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are circular genomic structures that can drive ultra-high copy number amplification and correlate with poor clinical outcomes, yet their evolution, detection, and targeting remain largely unclear. This project