41 software-engineering-model-driven-engineering-phd-position Fellowship positions at UNIVERSITY OF SOUTHAMPTON
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surveys: Methods for respondent-driven sampling with probability-based seeds” led by Dr Maslovskaya (University of Southampton). Working under the direction of Dr Maslovskaya, you will be part of a large
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James Gates gates@southampton.ac.uk Applications for Research Fellow positions will be considered from candidates who are working towards or nearing completion of a relevant PhD qualification. The title
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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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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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partners, and external academic collaborators. The position is available on a fixed term basis (end date 8 October 2027) due to funding restrictions. As part of your role, you will: Develop novel model
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the TDHVL that includes academic staff, postdoctoral researchers, engineers, PhD and undergraduate students. For further details on our laboratory, please see: http://www.highvoltage.ecs.soton.ac.uk/ You
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manufacturing. You should have interest in or experience with data-driven methods, including machine learning, Python programming, or data curation. Regular reports of research progress are required and research
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information about this position in advance of submitting your application. Equality, diversity and inclusion are central to the ethos in the School of Engineering. We give full consideration to applicants who
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Research or Psychology. You will have a detailed understanding and knowledge of statistical modelling and of software packages for carrying out statistical modelling, e.g., Stata, R, SAS, SPSS. Meticulous
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the new technology works and compares with existing drugs with the aim of improving cancer treatments. You will be motivated, educated to PhD level in a relevant subject area and ideally have practical