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project by: Collecting, analysing and critically interpretating data sets from multiple techniques to characterise granular zeolite ion-exchange materials. Designing and developing new in situ synchrotron
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new techniques within the laboratory, help supervise project/undergraduate students, and present their data regularly at internal lab meetings and external conferences. Applicants should be proficient
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holder will play a key role in supporting quantitative data analysis, including the development of statistical analysis plans, and interpretation in a cluster trial setting. There are also opportunities
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of the responsibilities outlined below Design and conduct bioinformatic data analysis pipelines under the guidance of the research supervisor to test the project hypotheses and complete project aims Develop research
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predictions and to generate hydrological forecasts. The RF will be part of a research environment with strong ML activities. The post is mainly part of the project ‘HEavy Precipitation forecast Post-processing
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objectives and proposals for own or joint research, with assistance of a Contribute to writing bids for research funding Analyse and interpret health impact assessment data Apply knowledge in a way which
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data Apply knowledge in a way which develops new intellectual understanding Disseminate research findings for publication, research seminars etc Supervise students on research related work and provide
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reasoning, machine learning, or equivalent qualifications Proven ability to publish in top-tier conferences and journals in AI, computer-aided verification, automated reasoning, or quantum computing
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remission as a model of flare vs remission with a 50% relapse rate. Initial data analysis has taken place using the 10x Chromium single cell sequencing identifying putative cellular subpopulations
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degree in Psychology or closely-related discipline and a PhD (or near to completion) in Psychology that is relevant to the research area Experience of collecting data from children Experience with