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Field
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department in the ISSA expertise center that develops advanced AI solutions involving AI models, algorithms, implementations, sensors and hardware for small scale edge up to large scale distributed and hybrid
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working with sensor-based data collected from animals A full UK driving licence Attributes and Behaviours Ability to work both independently and as part of a team Strong organisational and time management
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available in Digital Endocrinology in the Marie Skłodowska-Curie Doctoral Network (ENDOTRAIN). Join Europe’s first doctoral network in digital endocrinology – integrating AI, sensor technology, omics, and
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in a team environment Highly organized with excellent communication and interpersonal skills Preferred Qualifications: Experience with eye-tracking or wearable sensor technology Background in clinical
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, nanophotonics, lasers, quantum photonics, optical sensors, LEDs, photovoltaics, ultra-high speed optical transmission systems, bio-photonics. Technology for people DTU develops technology for people. With our
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, environmental and sensor data Design and validate AI-based risk and preparedness models Publish scientific articles in peer-reviewed journals and conferences Participate in international collaboration within
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Max Planck Institute for Intelligent Systems, Tübingen, Tübingen | Bingen am Rhein, Rheinland Pfalz | Germany | about 1 month ago
In this working environment, you will be exposed to cutting-edge technologies related to computer vision and multi-sensor systems. The MPI for Intelligent Systems is one of the world's leading research
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. The candidate will also have the opportunity to work with data gathered by optical and/or acoustic sensors. We are looking for a highly motivated person who will work independently and function well as part of a
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on a Conventional Imaging System for In Vitro Characterization of Contrast Agents. Sensors 22, 6543. https://doi.org/10.3390/s22176543 Nicolas-Boluda, A., Yang, Z., Guilbert, T., Fouassier, L., Carn, F
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. These methods will integrate machine learning techniques and real-time sensor data, to enhance operational efficiency, reduce costs, and ensure desired service levels, such as meeting a high percentage of demand