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Part-time (0.6fte+) or Full-Time. The University of Southampton invites applications for a Lecturer (A or B, level 4 or 5) from candidates with interests in AI, quantitative research methods
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-fatigue conditions. However, the conventional development of such alloys has relied heavily on trial-and-error exploration of a vast compositional space defined by elements such as Fe, Cr, Ni, Mn, and Mo
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conditions. Our work combines traditional statistical methods with advanced artificial intelligence algorithms to identify patterns in disease. We also use qualitative methods to understand lived experiences
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delivering excellent services and have a keen eye for detail and quality. This post is an administrative and supervisory role with a strong element of data analysis and project board liaison and as such is not
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opportunity to contribute to the early years (1 &2) of undergraduate medical education for students on the BM5/6/EU medical degree programmes with a focus on the primary care elements; early clinical
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organisations, in partnership with the National Centre for Research Methods (NCRM) and the Office for National Statistics (ONS). Its objective is to deliver a step-change in survey research to ensure that it will
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range of experimental methods including experimental cognitive psychology, psychopharmacology, psychophysiology and neuroscience methods to better understand the aetiology and treatment of mood and
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to gender—and demonstrated expertise in advanced statistical methods (e.g., multilevel modelling). The successful candidate will work closely with the Principal Investigator, Dr. Verena Klein, a PhD student
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research in ship hydrodynamics, design optimisation, and marine decarbonisation. Our work combines advanced simulation, AI, and experimental methods to support a more sustainable maritime future. The Role
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position will require laboratory experience to work on current projects using scientific methods. In addition, you will identify procedures, preparing tenders and work scopes to meet client needs and