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algorithmic solution development. The group focuses particularly on automated decision-making in autonomous cyber-physical systems, combining mathematical optimization, machine learning, and decision theory
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development of the multimodal neuromonitoring system. Tasks will include: Integrating a discrete impedance measurement prototype into an existing in-ear earpiece equipped with an EEG sensor. Conducting clinical
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, and contribute to team building and the development of the centre. Candidates are expected to: Be capable of working independently and in a team, for example in data collection, writing scientific
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over-the-top and the ongoing development of 5G and 6G. With new network structures, also conditions for content creation changes; it can be assembled ‘on the fly’ allowing for a highly granular and
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research meetings, presentations, and constructive feedback are part of our regular work. The PhD student will join a team of close colleagues eager to support your academic development and help integrate
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, including questions of sustainability, responsibility, and democracy The diffusion and consequences of AI in the Global South, and its implications for inequality and development. These focus areas
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technology for people. With our international elite research and study programmes, we are helping to create a better world and to solve the global challenges formulated in the UN’s 17 Sustainable Development
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interdisciplinary lab will include two PhD students and a cross-disciplinary team of supervisors. The team members, including the two PhD students, will collaborate closely to bridge technical development and
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Development Goals. Hans Christian Ørsted founded DTU in 1829 with a clear mission to develop and create value using science and engineering to benefit society. That mission lives on today. DTU has 13,500
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are explored, Microbes and Element cycles; Deep-sea research, Co-evolution of Life and Earth, Oxygen, Greenhouse gases and climate, Sustainability and biotechnology: How microorganisms interact with