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degree. Approval and Enrolment The scholarship for the PhD degree is subject to academic approval, and the candidate will be enrolled in one of the general degree programmes at DTU. For information about
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machine learning to analyse decision-making using diverse data sources, including physiological process data from immersive virtual reality experiments? Do you want to apply cutting-edge modelling and data
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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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The scholarship for the PhD 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
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equipment Experimental design, data analysis, writing of scientific articles and presentations at conferences and meetings Qualifications: As our new PhD student, you must have a two-year master's degree (120
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for biotechnological applications aiming at valorization of biowastes. The proposed research title is “Construction of microbial consortia based on genetic information”, and the aim is to develop a platform for
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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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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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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