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Field
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autonomous sensing systems. The project requires experience with setting up sensing hardware, software defined radio systems and other lab equipment for data collection in addition to experience of programming
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immediate leader will be the leader of the Software Engineering unit. About the project The position is one of the four PhD fellowships belonging to a university-wide project called SWELL (Sustainable Built
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high-impact inventions in analog filters, thermal noise cancelling amplifiers, ultra-low power analog to digital converters, software-defined radio, mixer-first receivers, N-path filters and sub-sampling
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machine learning (ML), artificial intelligence (AI) or related fields • Software skills in ML languages such as Python • Ability and enthusiasm to learn new technologies quickly • Ability to work highly
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of mass spectrometry vendor software, interpretation and troubleshooting of quantitative analytical results, presentation of results in oral and written for ms, supervision, or an equivalent combination
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economic studies funded by the UK National Institute for Health and Care Research. Experience of conducting economic evaluations using suitable statistical software (e.g. STATA, R or SAS) is essential
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MRI brain imaging, psychophysiological, and other data collection procedures using sophisticated laboratory equipment and software programs in accordance with a strict research protocol. - Accurately
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conducting human studies with human participants including participant recruitment, data collection, and management of data Advanced skills in statistical analysis using software such as R, STATA, or SPSS
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– set up and alignment Numerical modelling Scientific software development Geochronology You should possess strong communication and academic writing skills in English. You must have a two-year master's
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bioinformatics, AI and ML software tools to integrate and process the datasets quickly and efficiently. You will also work closely with other computational and experimental biologists to uncover new insights