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to evolve classical communication networks to support both traditional data and the unique requirements of quantum information systems (https://www.classique.aau.dk). CLASSIQUE will address a suite of
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Job Description Are you passionate about acoustic signal processing? We are seeking a highly motivated PhD candidate with a strong background in acoustics, microphone array processing, statistics
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various areas of theoretical and computational chemistry such as quantum and semi-classical theory of molecules, electronic excited-state dynamics and relaxation, materials and light, statistical mechanics
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, statistical mechanics, reaction kinetics and dynamics, and theory/simulation of ultrafast time-resolved experiments. You will be a part of the Physical Chemistry section at DTU Chemistry (https
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information about the research group is available at: https://plen.ku.dk/english/research/crop_sciences/cpps/ . Required qualifications The applicants should hold professional and personal skills and
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qualifications: MSc degree in electrical engineering, mathematical engineering, mathematics, computer science or similar; Solid mathematical and analytical skills, including signal processing, statistical learning
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about 40 % of all employees are internationals. In total, it has more than 600 students in its BSc and MSc programs, which are based on AAU's problem-based learning model. The department leverages its
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research. Successful applicants will ideally have: A relevant MSc degree in computer science, data sciences, applied mathematics, statistics, operations research, control, electrical engineering, energy
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developed with the supervisors within the first two months after enrolment. You must have a two-year master's degree (120 ECTS points in STEMS, with a preference in engineering, statistics, physics
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behaviour. This will include developing and using state-of-the-art image recognition algorithms to create digital twin models as well as statistical and machine learning methods for analysing large-scale