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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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We wish to appoint a Research Fellow/Senior Research Assistant for a duration of four months full time/part time equivalent to work within a research team to conduct a mixed methods evaluation of
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detailed understanding. This is likely to have been gained through considerable work experience, including clinical trials and other well-designed studies, as well as formal qualifications equivalent to a
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Complete works to a high standard to align to industry best practice and Health & Safety procedures including risk assessments and method statements Accessing work via mobile handheld devices, updating
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Experience of using qualitative and quantitative research methods Proven ability to organise a range of high quality research activities to deadline and quality standards Experience of managing and undertaking
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address this, you will adopt a novel "top-down" strategy, directly opposed to the current materials discovery methods, to accelerate materials development for creep-fatigue environments. Specifically, you
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experience in airway biology and advanced primary cellular models, integrating molecular, imaging and cell biology methods. Knowledge of CRISPR/Cas9 methods is welcomed. You must be a good team worker
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. Application procedure This post is suitable for psychologists or data managers with a strong background in quantitative research methods and statistics and is available now. For additional information/informal
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and the development of innovative design concepts, maximizing material properties and sustainable manufacturing methods. Qualifications: Strong background in aircraft design. Proficiency in Python
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skills within the relevant clinical departments of University Hospital Southampton cancer services. The post is not formally recognised for training but there are well-developed site specialised