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). Join Europe’s first doctoral network in digital endocrinology – integrating AI, sensor technology, omics, and clinical medicine to transform diagnosis and treatment of adrenal diseases. Digital medicine
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: https://www.ipc.pt/sobre/rh/a-decorrer-bolseiros/ Specific Requirements The scholarship aims to support the implementation and development of the following activities: Sensor Integration and Robotic
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sufficiently high for them to derive the full benefit from the network training Further details on Marie Skłodowska-Curie Early Stage Researcher eligibility criteria can be found on the following link (https
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School graduates over a thousand students who are ready to take on great ambitions and challenges. For more details, please view: https://www.ntu.edu.sg/eee We are seeking a highly motivated Research
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? Join us to develop deep learning techniques for fusing acoustic sensor data with other vehicle sensors for robust multi-modal environment perception. Help shape the future of autonomous driving! Job
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support in clinical practice (DC13) at the Sapienza University of Rome, Italy. The position is funded by the European Commission through the MSCA Doctoral Network Endotrain (Grant No: 101227148) and
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-edge sensors with current computational tools and machine/deep learning. As a Postdoctoral Researcher, you will be a key member of our team responsible for designing the seamless integration
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Europe’s first doctoral network in digital endocrinology – integrating AI, sensor technology, omics, and clinical medicine to transform diagnosis and treatment of adrenal diseases. Digital medicine is
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Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Freiberg, Sachsen | Germany | 21 days ago
employment. Starting date: 01.03.2026 Job description:PhD Student (f/m/d) Development of soft-sensors connected to particle-based separation models to control flotation processes With cutting-edge research in
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the Marie Skłodowska-Curie Doctoral Network (ENDOTRAIN). Join Europe’s first doctoral network in digital endocrinology – integrating AI, sensor technology, omics, and clinical medicine to transform diagnosis