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will be integrated into the networks of UiT and the Arctic Science Partnership. Thesis work will be part of the Micro-SHIFT project, led by Associate Professor Karley Campbell. The applicant must present
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improved mobility. An AI-based Human-Machine-Interface, employing machine learning and neural networks, enables real-time control by the user. Embedded sensors enhance functionality, while mechatronic design
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systems for information and communication technologies, in particular displays, image sensors and secure communications. The main drive of the group is to carry out applied research which bridges academia
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for someone to start as soon as possible. The successful candidate will work closely with industry and academic partners within the CoSTAR Network. This position offers the opportunity to contribute to cutting
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analysis of nutrient monitoring data as part of the NERRS long-term water quality monitoring program. The position also assists with field operations required to maintain the in situ sensor network deployed
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healthcare, telecommunications, advanced manufacturing, and sensor networks. Key to this project will be doctoral training initiative consisting of 15 PhD students delivered in collaboration with Ulster
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DOTs; and development of theoretical foundations and methodologies for communication techniques in sensor development and multi-point tactile force measurement (high-resolution sensing). The position is
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, and treatment across the lifespan Digital behavioral health interventions integrated into primary and specialty care Wearables, sensors, or digital biomarkers for remote patient monitoring and early
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structured program of continuing education and networking opportunities specifically for doctoral researchers via JuDocS, the Jülich Center for Doctoral Researchers and Supervisors: https://www.fz-juelich.de
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development, networking, administrative and technical support functions, along with good employment conditions. More information about the department is available at: https://www.umu.se/en/department