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and estimate tidal components. When relevant, compare with tide gauge data. Develop robust station infrastructure capable of withstanding extreme Arctic weather conditions. Optimize power supply
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, conduct Raman and SERS measurement, perform data analysis, and implement validation of results with reference analytical methods, e.g., HPLC or LC/MS. You are expected to have a solid background in
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candidate will be enrolled in one of the general degree programmes at DTU. For information about our enrolment requirements and the general planning of the PhD study programme, please see DTU's rules
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of ARGs with data about farms and antimicrobial usage in a quantitative epidemiology approach and in a risk setting. The study will be utilizing sequencing data generated from samples collected in
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interest in sustainable energy Quantitative skills and experience with data mining and handling big datasets Excellent communication skills, both in writing and oral presentation Open-minded team player
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Job Description Are you experienced in deep learning, computer vision, and probabilistic modeling? Join our high-profile EU consortium for the AUTOASSESS project at DTU Electro, where we have
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the Davis Strait and West Greenland. Responsibilities and qualifications Your primary tasks will be to: Analyze existing data and/or lead new data collection to investigate the functional diversity of phyto
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for mitigating transmission impairments associated with data transmission though a nonlinear fiber-optic channel. The focus will be on energy-efficient solutions. The start date is May 1, 2025 or according
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Job Description The Quantum Physics & Information Technology (QPIT) group at DTU Physics is seeking exceptional individuals to join our team as PhD students. We specialize in quantum information