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Field
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salary and remuneration package (including 39 days off a year and generous pension schemes). Be part of a diverse, inclusive and collaborative work culture with various staff networks and resources
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The Networked Biophotonics Group at the Research Center for Advanced Science and Technology (RCAST), The University of Tokyo, is inviting motivated and talented candidates from around the
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discussed at regular meetings with Dr. Ipsiroglu and the project team. Regular reporting will also be required to the project team and stakeholder groups as defined by each specific research project component
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scale. Assist/contribute in preparing research outputs including reports, publications, and presentations Work collaboratively across academic and policy networks The role offers an opportunity to work
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with the goal of improving human health. Aligned with Rutgers University–New Brunswick and collaborating university wide, RBHS includes eight schools, a behavioral health network, and five centers and
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and versatile AI systems and user-friendly software able to automatically process images from still photos and videos and export detailed reports incorporating statistical analysis. You will also use
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ability to develop and implement solutions Ability to work towards, and deliver, agreed outputs within defined timescales Ability to work autonomously and effectively organise workload Ability to contribute
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experience in Biosciences and Bioinformatics using Python and R and practical experience of applying these skills and techniques in Machine Learning models and software development. High level analytical
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former refugee completed secondary school at a School Network Access Program school To be eligible for this scholarship you must: be an Australian or New Zealand citizen, an Australian permanent resident
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with the goal of improving human health. Aligned with Rutgers University–New Brunswick and collaborating university wide, RBHS includes eight schools, a behavioral health network, and five centers and