40 phd-studenship-in-computer-vision-and-machine-learning Fellowship positions at UNIVERSITY OF SOUTHAMPTON
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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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governance applications. The successful candidates will have a PhD (or nearing completion) or equivalent professional qualifications and experience in Cancer Care/Nursing /Health Services Research/related
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should have required qualifications and experience Education: PhD in Biomedical Engineering, Electronic Engineering, Mechanical Engineering, Materials Science, or related disciplines with a strong academic
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working with Prof. George Chen. Join a multi-disciplinary team at the TDHVL that includes academic staff, postdoctoral researchers, engineers, PhD and undergraduate students. For further details on our
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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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extraction and data analysis. We invite applications from candidates who have a PhD or equivalent qualifications and experience in a quantitative field, such as Statistics, Medical Statistics, Health Services
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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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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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requirements We are looking for a candidate who meets the following essential criteria: A PhD (or be close to completion*) in Biotechnology, Engineering, Microbiology, or a related field or equivalent experience
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, University of Southampton. You will have a relevant PhD, Master degree or equivalent research-related qualifications in a health/ public health/ epidemiology/ healthcare or social science related subject, and