23 assistant-professor-and-data-visualization Postdoctoral positions at University of London
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dedicated to ground-breaking multi-disciplinary research in digital and data science, including artificial intelligence (AI). DERI offers an outstanding research environment including a dedicated physical
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monitoring, reporting and verification; and development of data and analysis products for clients. All of these elements will involve client and sector engagement. About You You will have a PhD in the relevant
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the statistical analysis of data. They will be supported by a multidisciplinary internationally renowned team with diverse expertise including in health data science, epidemiology, risk prediction, AI and clinical
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to compare simulations to data. They will be expected to work in teams applying these membranes to a diverse ranges of applications including pharmaceutical solvent recovery, and dehydration of pharmaceutical
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data analysis, and write scientific reports. In addition, there is scope for supporting PhD students, and collaborating with other experimental and computational neuroscientists within and outside
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common complex human genetic diseases using genomics and other omics data within large-scale health datasets. The postholder will contribute to the objectives and development of a research programme funded
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commensurate with their career stage. Experience in exoplanet (including host star) research and in data and statistical analyses (all broadly defined), is desirable but not essential, and applicants with a wide
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institutes. This position is based in the Centre for Combinatorics, Algebra & Number Theory. Other Centres include the Centre for Data Science, Statistics and Probability, the Centre for Geometry, Analysis and
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experiments, devise strategies for further development/advancement of project. Be involved in compiling data, writing manuscripts grant applications, contribute to overall scientific endeavor of the research
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) semiconductors and devices. The primary aim is to develop next-generation ultra-low-energy consumption semiconductor devices to significantly reduce the power consumption of data centres and computers. Key