22 big-data-and-machine-learning-phd Fellowship positions at The University of Southampton
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modelling, satellite data assimilation, multivariate statistics, and machine learning. Prior experience with model and satellite products for mapping and understanding SM-dependent hazards (like floods
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techniques to enable large-scale data search across Personal Online Datastores (pods) hosted on distributed pod servers, addressing both keyword-based search and SPARQL querying. EPRESSO will build on and
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will be applied upon successful completion of the PhD. Prior to the qualification being awarded the title of Senior Research Assistant will be given. You will join a large and friendly Mechanical
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or more of: the use of micro/nanofabrication and materials characterization tools; computational multi-physics/electromagnetics modelling and/or the application of machine learning algorithms; experimental
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. Knowledge of qualitative data acquisition and analysis and a keen interest in further developing your skills would also be an advantage. You will be a skilled and sensitive listener and communicator, able
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turbulence data, together with fine-scale profiles from standard Argo floats, to quantify rates of vertical and horizontal ocean mixing, and you will apply inverse methods to investigate the role
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responsible for maintaining high quality research procedures and will work as part of the team and liaise with three recruiting sites in setting up the study, monitoring participant recruitment, data collection
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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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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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record, and leadership. A PhD in a health-related discipline is essential; a PhD in Psychology would be an advantage, and understanding of qualitative approaches will be useful. You will have excellent