648 parallel-computing-numerical-methods-"DTU" Fellowship positions in United Kingdom
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to the development of innovative and sustainable low carbon plastic waste management and recycling solutions. In this project the post holder will develop novel algorithms and methods for analysis of plastic data
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The Research Fellow will investigate young carers and health inequalities using advanced longitudinal quantitative methods. Responsibilities include data analysis, literature reviews, publishing
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of novel genomic technologies in pathogen detection and host immunity profiling. In particular, we are leading the roll out of metagenomic methods within NHS diagnostic labs. The post will be for 16 months
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datasets Previous experience in statistical analysis of data, leading to peer reviewed papers and/or presentation of findings at conferences Evidence of excellent scientific analysis skills Strong computer
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and strong relationship-building skills. Ability to apply and/or develop and devise successful models, techniques and methods in research and innovation. Extensive experience and achievement in
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Deadline 9 Sep 2025 - 00:00 (UTC) Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position
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reports and ensure they are escalated to the Programme Manager on time for reporting and monitoring to funders. They will maintain a personal research plan by, managing and undertaking research activities
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technology innovations will be underpinned by fundamental understanding, using a range of innovative techniques and characterisation facilities already available at Warwick or by developing new methods
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the Edge AI foundation and various industrial partners. We are seeking candidates with a doctoral degree and substantial experience in Persuasive and Edge Computing or related areas. Essential expertise
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of Ecosystem Restoration (2021-2030); A good understanding of micro-economic theory, welfare economics and econometric methods. Strong background in applied micro-econometrics; Experience applying econometric