117 parallel-computing-numerical-methods-"Prof" positions at Nature Careers in United Kingdom
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Prof Owen Sansom’s group. Recent studies have shown that APC mutations in LGR5-positive intestinal stem cells (ISCs) give rise to super-competitor cells. Whereby, APC -mutant ISCs hold an endogenous
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Cardiovascular Data Science Hub. You will be working with Prof O’Regan and his team to support a program of research using cardiovascular imaging, genetics and health data to discover disease mechanisms and
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Job Details Under the guidance of Dr Syed Haider, we are seeking to recruit a highly motivated researcher to apply and develop computational approaches for investigating genomic and transcriptomic
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Position Details School of Computer Science Location: University of Birmingham, Edgbaston, Birmingham UK Grade 8 Full time starting salary is normally in the range £47,389 to £56,535 with potential
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of epigenomics research, where your computational skills will help unravel the complexities of gene regulation in development and disease. This position focuses on computational analysis and method development
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annotation of these metabolomes using multistage fragmentation (MSⁿ) data, incorporating novel computational methods and strategies (e.g. spectral matching, network-based approaches, machine learning) where
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Programme Leader Track Salary: £65,940 - £74,448 plus London allowances (£5,358) per annum Full-time (36 hours) (Part-time applications welcome) Permanent London, UK The MRC LMS, under
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Research Fellow (Fusion Shielding Materials) - School of Metallurgy and Materials - 105638 - Grade 7
variety of research methods, such as scientific experimentation, literature reviews. Analyse and interpret data Contribute to developing new models, techniques and methods Disseminating research results
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Solar Radiation Management (SRM) methods to artificially cool the Earth by reflecting more sunlight back into space, buying time for global decarbonisation. The main SRM methods are: 1) Stratosphere
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of Psychology), are expanding and would welcome individuals with an interest in this area. A close collaboration with the Department of Cancer and Genomics (Prof Jason Parsons) and the School of Computer