33 web-programmer-developer Postdoctoral positions at University of London in United Kingdom
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related to gravitational wave astronomy. The primary aim will be the development of advanced approaches for computational Bayesian Inference to measure the properties of Compact Binary Coalescence signals
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. The Institute is organised into six separate research centres which, though complementary and following the Institute strategic plan, also have Centre-specific objectives and requirements. The Centre for Cancer
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that demonstrates this effect on a laboratory scale, and that can be used to test the operando performance of various barocaloric materials and heat exchange structures. We are looking for a researcher to develop
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to our development and the success of our mission, as well as collaborating with key members of TOTAL OneTech, which will include regular visits to Pau (France) to present results. The aim of the research
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quantitative proteomics and imaging to understand microtubules impact cell physiology. We offer a vibrant and creative multidisciplinary environment, and the successful candidate will be supported to develop
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About the Role Applications are sought for an exciting opportunity within the Ciccarelli lab, within the Centre for Cancer Evolution, Barts Cancer Institute. We are seeking an independent, highly
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About the Role The post holder will focus on developing novel methodology for high-dimensional time series analysis with a focus on financial applications. You will be part of the Centre
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that demonstrates this effect on a laboratory scale, and that can be used to test the operando performance of various barocaloric materials and heat exchange structures. We are looking for a researcher to develop
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disciplines both within and beyond QMUL and are a core member of the International Trauma Research Network that includes academic partners across Europe and North America. Our highly developed human discovery
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-tumour heterogeneity, clonal evolution, biomarkers of response and resistance to therapies and developing methodologies to study lymphoma cell populations (Okosun et al, 2014; 2016, Nature Genetics; Araf