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Field
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visual stimulus design, eye tracking, MRI or large-scale electrophysiology techniques (ideally Neuropixels). Additionally, candidates should possess a strong background in quantitative fields such as
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project titled “The Green Innovation Fund/Promotion of Carbon Recycling using CO2 from Biomanufacturing Technology as a Direct Raw Material,” led by NEDO. To achieve the objectives of this project
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of research objectives and proposals for own and/or collaborative research area; iv) contributing to writing up research work for publication, resulting in successful research outputs; collaborating with other
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. Design and perform experiments. Collect and log research data. Participate in implementing research objectives, ensuring compliance with all legal, regulatory and protocol guidelines. Assist other lab
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), whose objective is to extend the HLA-Epicheck model, originally developed within the framework of a PhD thesis, and to implement new deep learning approaches to assess donor–recipient compatibility in
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(including years dedicated to doctoral research) will be assessed. Strong publication track record. Willingness to submit extramural grant applications periodically, particularly highly competitive grant
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the research area; ii) gathering, analysing and illuminating data, evaluate and criticise texts and bring new insights to research area; iii) supporting the development of research objectives and proposals
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this understanding to design therapeutic strategies to overcome them. Our immediate objective is to fully understand the genetic and molecular basis of antifungal resistance in clinical isolates of C. auris
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of the Principal Investigator or Grant-holder. To assist with the development of research objectives and proposals. To conduct individual and collaborative research projects under the direction of the Principal
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learning, small data learning · Active learning, Bayesian deep learning, uncertainty quantification · Graph neural networks This position involves active participation in a well-funded