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of Engineering Information, duration 12 months, expiration date 2nd May 2026 at 1:00 pm Where to apply Website https://www.unipi.it/ Requirements Additional Information Eligibility criteria Eligible destination
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Multi-Sensor Data Fusion and Smart Decision Making School of Electrical and Electronic Engineering PhD Research Project Self Funded Prof Lyudmila Mihaylova Application Deadline: Applications
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will collaborate at the development of innovative methodologies for the detection and tracking of objects with radar and optical sensors. The techniques will be applied to the protection of aircraft in
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workflows for engineering design and optimization of fusion reactors and facilities needed on the path to a Fusion Pilot Plant (FPP). The Principal Research Scientist (Managing) will also deploy and use those
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, Effects, and Criticality Analysis (FMECA), functional FMECA, advanced sensing techniques, sensor and operational data fusion, data analytics, and machine learning algorithms for condition monitoring, fault
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an autonomousmanner, only within the limits of the research program available on the web address (Number 290) https://www.uniud.it/it/albo-ufficiale Research assignment financed by INTERREG IT-HR 2021-2027 BRIGANTINE
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, thermal, depth, LiDAR, acoustic, sonar and radar sensor data, with established research lines in 3D reconstruction, and Edge AI for resource-constrained deployments. Where to apply Website https
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YOUNG RESEARCHER IN THE FIELD OF EARLY DETECTION OF THE HEALTH STATUS OF PLANTS USING REMOTE SENSING
participate in the development of methods for the early detection of biotic and abiotic plant stress using remote sensing data acquired with unmanned aerial vehicles and multi-sensor systems. The tasks will
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years of history, PPPL is a leader in the science and engineering behind the development of fusion energy, a potentially limitless energy source. PPPL is also using its expertise to advance research in
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the MediTwin project, which aims at advancing patient-specific digital twins for medical applications by combining physics-based modeling, data assimilation,and efficient computational pipelines (https://www