65 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"CERIC-ERIC" positions at Imperial College London
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Are you passionate about turning data into insight and driving innovation in education systems? Join us as a Power BI Data Analyst and play a key role in developing data-driven solutions
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outputs with electrochemical performance data from a variety of analytical techniques (e.g. diffusion, conductivity, power density etc) (D) Highly confident and articulate with outstanding communication and
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Imperial College London invites applications for the following two positions: Assistant Professor in Health Data Analytics Assistant Professor in Environmental Epidemiology and Data Science This is
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to transform how we understand and effectively use data across Imperial. Imperial is recognised worldwide for being at the forefront of education and research and, at the foundations of our academic excellence
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spans multiple years and involves close coordination between academic units, professional services, digital systems and external requirements. REF 2029 will require the integration of diverse data sources
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by the Medical Research Council, that aims to improve the standardisation, modelling, and analysis of prescription data in Parkinson’s disease, with the goal of predicting medication-related side
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will support the generation of high-throughput mass spectrometry (MS) data to power state-of-the-art Artificial Intelligence (AI) and Machine Learning (ML) models to build a chemical ‘rule book’ for
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, fellows, and researchers to guarantee the smooth operational delivery of the study. Drive the science: Beyond administration, you will oversee data collection and management systems, contributing
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provided with the best environment to achieve their potential. Full information on duties, responsibilities and criteria for the post can be found in the attached job description. Grow in your career with
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healthcare interventions. You will design and deliver cost-effectiveness and budget impact analyses, analyse healthcare cost and outcomes data, and develop decision-analytic models. Working closely with