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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 solvers for stochastic optimization problems, and test the methods on real-life data. As part of the PhD you will be following advanced courses to extend your skills, implement and test algorithms, and
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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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of the following fields: nutrition sciences and related health impacts, sustainable food production and consumption, use of food survey data, food systems optimization, environmental life cycle assessment and
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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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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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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