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spatial variability of soil health. You will be contributing to specifically the area of using proximal and remote sensors, soil physical, chemical and biological data, as well as plant and weather data
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2025 - 21:59 (UTC) Type of Contract Permanent Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within
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to the other phases of the research process, including writing academic papers and reports, dissemination of results and participation in meetings and the ongoing tasks in the project in collaboration with other
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information, please see Criteria for evaluating Candidates . Please refer to the tenure track guidelines for the tenure review criteria and for the tenure review process. Research plan It is required that you
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are part of a sub-project on Algorithmic Sustainability in association with Professor Christina Lioma and her Machine Learning research team in the Department of Computer Science at the University
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Assistant Professor in Environmental Microbiology and Viromics of Danish Peatlands (3 year position)
. This project will combine computational and experimental approaches, leveraging the large-scale Microflora Danica dataset combined with samples taken from sites undergoing restoration. You will help conduct
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CLINDA here . The Department of Clinical Medicine provides research-based teaching across all disciplines of the medical degree programme and conducts research within the clinical specialties
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We are looking for an experienced and motivated computational biologist to join our team commencing October 1st, 2025 or as soon as possible hereafter. Our group and research The Weischenfeldt lab
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international conferences. Your profile Applicants should hold a PhD in physical chemistry, material science or similar related subjects and have experience and expertise in small-angle X-ray scattering(SAXS
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have a PhD degree or must document equivalent qualifications in a relevant field related to natural language processing (NLP), literature, information science, media studies or a closely related domain