1,871 data-"https:"-"https:"-"https:"-"https:"-"Universidade-Portucalense-Infante-D" Fellowship positions
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national and international projects. About the opportunity Lead project field data science related to quantifying water security and biodiversity. Deliver outreach and adoption that translate research onto
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5, with a particular emphasis on empirical analysis, AI-enabled data construction, and policy-relevant research outputs. Duties and Responsibilities: Design, develop, and execute empirical research
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records, and supporting project timelines Lead and manage ethics processes, including preparation of applications, amendments, and ensuring compliance with institutional and ARC requirements Coordinate data
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investigators. Contribute to study design, data collection, analysis, and interpretation for translational pathology projects (e.g., NGS, IHC, spatial assays, image analysis). Design and perform wet laboratory
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information/data from one structure can be used to manage similar structures from the same population. New machine learning, sensing and digital twin technologies will be developed with the aim of driving new
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to disentangle the drivers of landscape and climate change in the Afrotropics since the introduction of domesticated food economies. The project will collect and analyse diverse types of data
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(SingFarm)—a CREATE-NRF programme focused on building a sustainable, data-driven food production model with strong industry relevance to contribute Singapore’s ambition in achieving 20 per cent local
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(SingFarm)—a CREATE-NRF programme focused on building a sustainable, data-driven food production model with strong industry relevance to contribute Singapore’s ambition in achieving 20 per cent local
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(SingFarm)—a CREATE-NRF programme focused on building a sustainable, data-driven food production model with strong industry relevance to contribute Singapore’s ambition in achieving 20 per cent local
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approximately 5-10°C warmer than the 1970-2010 average. The role will involve the generation of ecophysiological data as measurements of plant performance and generating morphological and anatomical trait data