102 parallel-and-distributed-computing-phd-"Multiple" positions at UNIVERSITY OF SOUTHAMPTON in United Kingdom
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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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balance. We also offer a mentorship programme and the school runs a women-oriented network event on a bi-weekly basis. The University of Southampton is in the top 1% of world universities and the top 10
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cognition and emotion processing. We invite applications from individuals with a background in human experimental psychology (participant recruitment, experimental testing, data analysis) and with a PhD in
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, and be expected to develop a programme of research with support from clinical and laboratory-based colleagues. They will contribute to academic leadership within the Faculty and Trust and enhance
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trials, with strengths in cancer immunology, tumour microenvironment, lymphoid biology, surgery, and clinical informatics. Our success led to the establishment of the Centre for Cancer Immunology (CCI) in
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capacity building programme that will help to ensure that the UK remains at the forefront of digital skills and AI. Work spans across three project themes: 1. Large language models for (survey) research and
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, Engineering and Computer Science. The Institute for Life Sciences supports further cross-disciplinary collaboration. Our strategic partnerships with schools, NHS Trusts, Government, charities and industry
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holder would join the lab of Prof Vladimir Jiranek (Prof V Jiranek | Uni Soton ), and have the opportunity to interact with several PhD students working on related topics in the context of a diverse and
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or nearing completion of a relevant PhD qualification. The title of Research Fellow will be applied upon successful completion of the PhD. Prior to the qualification being awarded the title of Senior Research
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for diagnosing mental health conditions, particularly in individuals with multiple long-term conditions (MLTC). It aims to assess the potential for AI tools to exacerbate disparities based on sociodemographic