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applicants regardless of their personal background. Qualifications and the selection process Applicants for this position must hold a PhD degree (or equivalent level of education) in bioinformatics, data
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shared with about 400 highly skilled and motivated colleagues, with interdisciplinary backgrounds from meteorology, electrical and control engineering and data science all the way to humanities
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you will report research results in high-impact scientific journals. Your profile We are searching for a highly motivated candidate who has A PhD in ecology, environmental science, remote sensing, data
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participation in national and international conferences is integral to the job. Furthermore, participation in supervising BEng, BSc, and MSc students is expected. As a formal qualification, you must hold a PhD
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advanced contextual spatial and temporal modelling approaches. You will work on combining multi-source data such as field observations, laboratory measurements, environmental data, and drone- and satellite
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advanced contextual spatial and temporal modelling approaches. You will work on combining multi-source data such as field observations, laboratory measurements, environmental data, and drone- and satellite
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participate in knowledge exchange with public authorities and industry and will be involved in teaching and supervising students at the BSc, MSc, and PhD levels. Qualifications for a postdoc position: Academic
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the technology up. The candidate will be focusing on adapting our technology for industrial applications and design a CO2 capture system/filter prototype for flue gas CO2 capture and large-scale plastic waste
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engaging research environment. The postdocs will work on cultural alignment and preference optimization of large language models (LLMs) for mid to low-resourced languages. The overarching goal is to develop
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from state-of-the-art roll-to-roll (R2R) thin-film process technologies. The center is headed by Professor Morten Madsen and includes 9 co-principal investigators and many PhDs and postdocs. Read more