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independently, as well as within a team, to ensure proper operation and maintenance of equipment. Job Requirements PhD/Master’s in Naval Architecture, Ocean Engineering, Civil Engineering, or related field
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Collect research data via experiments carried out on the analysis and recycling of Li ion battery materials Supervise students on research related work and provide guidance to PhD students on the Li ion
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part of the research team to develop software platforms for supporting multi-user AR/VR applications. Key Responsibilities Participate in the research project with Principal Investigator (PI), Co-PI and
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Collect research data via experiments carried out on the analysis and recycling of Li ion battery materials Supervise students on research related work and provide guidance to PhD students on the Li ion
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PhD (or be close to completion) in chemistry. This is a full-time, fixed-term post (36.25 hours per week) and is available for a period of 18 months starting on or around 1 September 2025 (and no later
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for candidates to have the following skills and experience: Essential criteria PhD qualified in relevant subject area or equivalent professional experience Familiarity and experience with NLP methods and
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the role Overview of the role We are seeking a highly motivated Research Fellow in Machine Learning to join the PharosAI team, focusing on developing novel machine learning methods in computer vision
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models, techniques and methods to understanding gender bias in political communication using text as data Contribute to public engagement activities that benefit dissemination of project research findings
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of work with that of others involved in the project. Write-up of results in formal documents and contributions to the preparation of journal/conference papers and other outputs (as required) are expected
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. About You To be successful in this role, we are looking for candidates to have the following skills and experience: Essential criteria PhD awarded in cancer immunology, virology, cell biology or molecular