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clinical research, including performing clinical and neuropsychological assessments and collecting and processing biosamples, and will develop skills in database curation and analysis of clinical cohort data
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field. The successful candidate must possess expertise in distributed AI/ML systems and computer networks. Good knowledge and practical skills in distributed AI/ML, networked systems, data management, and
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laboratory skills involving vacuum physics, laser physics, quantum optics tools, lab software and data acquisition, cluster physics and mass spectrometry. Knowledge: experimental experience with macroscopic
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males and females respond differently to bacterial infection. The successful candidate will play a leading role in the imaging and data analysis components of the project. They will develop and apply high
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preparation of research grant applications, and contribute to the design and delivery of research projects. Duties include questionnaire design, data collection and analysis, conducting research interviews
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nitrogen-containing products and assess system performance. You will contribute to the design and testing of the prototype system, analyse experimental and simulation data, and publish the resulting research
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in the use of genomic data in public health – access to big data sets, the technology to analyse these data, and the knowledge to interpret the results. In this role, you will develop, optimise, and
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also be able to process and transform historical, multilingual or otherwise non-standard textual data and to design and validate evaluation benchmarks; have strong Python and software engineering skills
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in a team and on interdisciplinary research projects. Knowledge of image-based modelling and geographic information systems (preferably QGIS) is desirable. During the initial period, you must
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including emerging digital public infrastructure. A combination of methods - archival, data sets and interview based will be essential. The interaction of ideas and institutions with public perception