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Field
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. We believe that access to nutritious food and a healthy environment is a fundamental human right. We believe that ensuring a prosperous global future depends on the ability to support local people and
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PhD or Masters in a critical social science discipline. Mōu | Who You Are To be successful in this position you will ideally have the following: A PhD in a relevant social science or humanities
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electronic health records (EHRs) from multiple UK hospital centres using advanced data analytics including machine learning, deep learning, and statistical techniques—with a particular emphasis on deep
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the ability to support local people and communities everywhere. By working in and across multiple scientific areas, CALS can address challenges and opportunities of the greatest relevance, here in New York
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candidate must have a PhD in ocean biogeochemistry, chemical oceanography, physical oceanography, ocean science, or similar field. Qualifications, skills and abilities Strong understanding of ocean
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metabolomes (targeted and untargeted) and plant transcriptomes In addition to collaborating with project partners, you will join an active and expanding community of PhD and Postdoc students in the plant
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amenable to therapeutic targeting. This position will involve the application of advanced data science approaches to explore large-scale clinical datasets extracted from electronic health records, with
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iNANO at Aarhus University is seeking a postdoctoral fellow for the Novo Nordisk Foundation CO2 R...
Research Center to unlock the power of science and technology! Starting date and duration of employment The position is fix termed for one year and is available from 1st of December 2025 or as soon as
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policies and projects. We are looking for candidates who meet the following requirements: - a PhD degree in Energy Law; - a relevant publication record demonstrating your ability to publish international
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. Aarhus – a vibrant university city by the sea, combining rich cultural life with easy access to nature. PhD in mathematics (completed or expected before start date). Preferred research record in