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Field
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Optimization of Innovative Edible Solutions Derived from OceaNo", reference CENTRO2030-FEDER-02476000, funded by COMPETE 2030 - Innovation and Digital Transition Program/PT2030, through co-funding from
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dynamic group investigating mitochondrial genetics and function using Drosophila and human cells (http://themalab.co.uk). The candidate will use genetic and biochemical approaches to study mitochondrial DNA
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to the successful pursuit of excellence in research, innovation, and learning for all faculty, staff and students. Our commitment to employment equity helps achieve inclusion and fairness, brings rich diversity
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managing social media datasets and metadata from the 2020 and 2024 US Presidential elections and the 2024 UK General Election. Designing, implementing and evaluating NLP and machine-learning approaches
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administrator, and a number of research fellows, research associates, and PhD students. Most staff are employed on/funded through external research grants, including those funded by the National Institute
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capacity and autonomy. Work plan: Operational preparation of the project in its different components (conceptual, methodological, organizational, and logistical aspects); Collection and analysis
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of activities or projects; ii. communication and dissemination of technical and scientific information through different channels. Workplan and objectives to be achieved: The work plan aims to structure
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School graduates over a thousand students who are ready to take on great ambitions and challenges. For more details, please view: https://www.ntu.edu.sg/eee The role is for a research fellow to conduct
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. The ultimate aim is to design, test and deploy the sensor bolus to measure and reduce methane emissions from cattle. The successful candidate will have a PhD or equivalent professional qualification and
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Vision, Video Understanding, and Multimodal AI. Design AI models for concept-driven video understanding of consumer facial care behaviours. Work with PI and company to develop the AI solution Develop novel