209 computional-geometry-algorithm positions at University of Cambridge in United Kingdom
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About Us The MRC Biostatistics Unit is one of Europe's leading biostatistics research institutions. Our focus is to deliver new analytical and computational strategies based on sound statistical
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world headquarters of AstraZeneca. Our focus is to deliver new analytical and computational strategies based on sound statistical principles for the challenging tasks facing biomedicine and public health. The Unit is
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Medicine The Cambridge Foundation Year Programme Offer Holders Undergraduate Offer Holders Postgraduate Offer Holders Open Days & Virtual Tour College Life Back About College Life Accommodation Our
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RNA or ribosome-associated structures. Computational and Bioinformatic Analysis Handling and interpreting large datasets, sequence conservation, RNA structure modelling, and more. You will be supported
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procedures as required; setting up workshops and seminars, liaising with students and organising symposia for the MPhil programme; providing administrative support for research, teaching, and learning-support
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involves computer simulations of catalytic and environmental interfaces, aiming at reaching fundamental new understanding of elementary processes at such interfaces. As part of our work, we also seek
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in these techniques. Key Experience and Competencies: We seek a motivated, ambitious researcher with a strong background in cellular neurophysiology and clear interest in the lab's research program
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developing theoretical and computational methods to investigate biological systems. Preference will be given to candidates with experience in modeling the genetic basis of phenotypic variability. The candidate
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international universities. Key components of the programme include: ¿ With collaboration partners, oversee / perform small scale screening experiments to identify candidate molecules in clearly defined
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-detection-cd3-programme ) (CD3) programme. CD3 is a new, multidisciplinary and multi-institutional strategic national research initiative dedicated to using data to revolutionise our understanding of cancer