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environment that will allow realistic simulations of multiple full-stack aerial and ground robots including 3-D geometry, physics and sensor data. The job requires basic understanding of robot control
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ingredients for protein molecular recognition events, obtain atomic-level control of the protein/small-molecule interface, and set the stage for the development of proteins that could serve as novel sensors
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degree in machine learning. The successful candidate will be supervised by professor Aristides Gionis (https://www.kth.se/profile/argioni/ ). The research team focuses on developing novel methods
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with Danish and international industrial partners. More information about the AI RF Sensors group is available at: https://www.es.aau.dk/research/ai-rf-sensors Qualification requirements Appointment as
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and analysis activities using regulatory monitoring networks, mobile and stationary monitoring platforms, distributed sensor networks, and remote sensing tools. In addition, the appointee will develop
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microelectronics and photonic devices, gallium nitride technology, LTCC technology, printed electronics and medical and environmental sensors. Łukasiewicz–IMiF runs numerous projects financed from domestic and
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with the technology and design of microelectronics and photonic devices, gallium nitride technology, LTCC technology, printed electronics and medical and environmental sensors. Łukasiewicz–IMiF runs
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microelectronics and photonic devices, gallium nitride technology, LTCC technology, printed electronics and medical and environmental sensors. Łukasiewicz–IMiF runs numerous projects financed from domestic and
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computerized equipment to diagnose and troubleshoot diesel engine failure conditions, including mechanical faults and problems with onboard electronics and sensors. Assist technicians with diagnoses and
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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