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on challenging, high profile projects. Further information is available at: www.birmingham.ac.uk/ktp Role Summary To facilitate the knowledge transfer of AI software engineering through conducting research
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qualitative software (such as NVivo) to manage and code data Apply knowledge in a way that develops new understanding of dementia care delivery Support co-design activities with stakeholders in community-based
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clearly. Ability to assess resource requirements and use effectively. Ability to identify and learn new techniques and software skills, through self-study, training and/or CPD. Work within specified
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calibrate powertrain subsystem models using tools such as GT-Power, AVL Cruise, and MATLAB/Simulink. Design energy-efficient system-level performance within various hybrid architectures. Contribute
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embedded within a diverse and interdisciplinary research environment comprising experienced scientists in toxicology and human health, analytical chemistry, software engineering, statistics, and
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research area or equivalent qualifications Experience in working with mixed methods of research is desirable Familiarity with quantitative data analysis software such as STATA and SPSS or similar Experience
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technologies, or synthesis of economic evaluation studies. Use and familiarity of software for systematic reviews such as Covidence, Eppi-reviewer or similar and experience with reference software such as
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to Tackle Modern Slavery’, led by Dr Rowland Seymour. The successful candidate will join a diverse and friendly research group with PhD students and a Research Software Engineer. The goal of the project is to
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analysis data from the FAST (www.flagellarcapture.com ) software package (designed by Dr Gallagher). The key aim is to be able to quantify subtypes of sperm swimming and how they contribute to fertilising
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intervention studies, including designing, implementing, and evaluating the effectiveness of interventions Good quantitative research skills, including proficiency in statistical analysis and the use of software