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Program
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Field
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of improving human health. Aligned with Rutgers University–New Brunswick and collaborating universitywide, RBHS includes eight schools, a behavioral health network, and five centers and institutes that focus
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balance, special opportunities for junior researchers, and the services available when relocating to Aarhus University at https://international.au.dk/research/. The campus of Aarhus University is located in
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supports forming a strong multi-disciplinary and international professional network between doctoral students, researchers, and industry. Read more: https://wasp-sweden.org/graduate-school/ The programme and
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development and distributed sensor networks, climate modeling, and Artificial Intelligence/Machine Learning. The position also offers meaningful engagement with academic, industry, farming communities and
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include, but are not limited to: Responsibilities Design, build, and integrate robotic and automated systems, including end-effectors, manipulators, and sensor-actuator networks. Lead mechanical, electrical
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, Sensor Networks and IoT, Computer System Security, Mobile Computing, Cloud Computing, Edge Computing, Social Network Programming and Analysis, Intelligent Transportation, Signal Processing RESPONSIBILITIES
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studies. You will work with a rich variety of data sources, including dietary and lifestyle information, multi-omics data, functional measurements, sensor data, and clinical data. By integrating
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analysing time-series data from smartphone sensors and usage logs using advanced statistical and machine learning approaches to develop personalised nudging and adaptive interventions. The candidate will also
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Knowledge of Physics-Informed Neural Networks (PINNs) or equivalent methodologies. o Experience in the acquisition, processing, and analysis of data from sensors or industrial testing. o Participation in
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future-proof. At the same time, we are developing the chips and sensors of the future, whilst also setting the foundations for the software technologies to run on this new generation of equipment – which