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environment focusing on integrating multi-source satellite remote sensing data and developing novel algorithms to quantify agroecosystem variables for environmental sustainability. You will focus on processing
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analysis, so computer vision experience is a requirement. Experience with large language models is a plus. Furthermore, as AI:Epertise is about deploying AI in the real world, we are looking for people with
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paths at DTU here . Further information Further information may be obtained from Professor Xenofon Fafoutis and Associate Professor Luca Pezzarossa . You can read more about ESE at www.compute.dtu.dk
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information from Associate Professor Carsten Jahn Hansen, 9940 8286 jahn@plan.aau.dk. Youcanread more on TECH as a workplacehere Youcanread more on Department of Sustainability and Planning here Qualification
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uncertainty and complexity. The PhD student will have the opportunity to leverage data and expertise from the megawatt-scale HPP research facility at Risø Campus, significantly enhancing the practical relevance
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located at Frederiksborgvej 399, DK 4000 Roskilde, approximately 40 km west from Copenhagen. Contact information For further information, please contact: Professor, Nikolai Friberg, +45 31250820, niko
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Motivated Language Model Detection”) and an NNF: Ascending Data Science Investigator project (“LM2-SEC: Linguistically Motivated Language Model Security”). Your work tasks As a PhD student, you will conduct
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degree is subject to academic approval, and the candidate will be enrolled in one of the general degree programmes at DTU. For information about our enrolment requirements and the general planning
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degree programmes at DTU. For information about our enrolment requirements and the general planning of the PhD study programme, please see DTU's rules for the PhD education . Assessment The assessment
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flights (including FPV) for a range of drone prototypes and specific operations Evaluate and assess the performance of various drone prototypes Log data and assist with reporting of test activities