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Field
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We invite applicants to join our team of researchers within the area of maritime environmental science. We are looking for a PhD student to work on cumulative risk assessment of shipping pressures
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are deeply committed to environmental stewardship and eager to apply their specialized skills in AI, data analysis, software development, and electrical or energy engineering to make a significant and tangible
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Application deadline: 21 July 2025 Apply now Are you passionate about environmental health, data science, and AI? Do you want to contribute to groundbreaking research at the intersection of technology, urban
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Health, Planetary Health, and the Data Science & Exposome Group. Our mission is to advance education and cutting-edge research to unravel the complex interactions between environmental factors — including
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environmental inputs, algae physiological parameters and microbial community eDNA data to develop predictive mechanistic models which can be utilised to develop an optimal cultivation strategy. The project is
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Fully funded positions available to start in 2025 or early 2026 Projects span plant genetics, climate-resilient breeding, AI and data science, soil health, sustainable agriculture, circular economy
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We invite applicants to join our team of researchers within the area of maritime environmental science. We are looking for a PhD student to study turbulent ship wakes and their effects on the marine
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members of staff. Research in the Department is organised into six themes : Causality; Computational Statistics and Machine Learning; Economics, Finance and Business; Environmental Statistics; Probability
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and validate the developed models using real-world case studies and data. The research plan will be tailored based on the candidate’s background in flood management, data science, environmental modeling
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will develop and carry out the project under the supervision of Dr. Senka Neuman Stanivukovic, Dr. Ksenia Robbe, and Dr. Florian Lippert. Together, they bring expertise in environmental humanities