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DC-26094– POSTDOC/DATA SCIENTIST – AI-DRIVEN CLIMATE RISK MODELLING AND EARLY WARNING SYSTEMS FOR...
: https://www.list.lu/ How will you contribute? You will be part of LIST’s Remote sensing and natural resources modelling group Embedded in the Environmental Sensing and Modelling (ENVISION) unit
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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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than 1,800 employees and nearly 21,600 students. We are looking for a Postdoctoral Researcher in Robotics and Artificial Intelligence (RAI) (https://www.fieldrobotics.eu/ ) based at Department
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, seeks a postdoctoral candidate in wireless sensor networks and the Internet of Things. The successful candidate will join the group of Prof. Youssef Iraqi. Context Wireless sensor networks (WSNs) and
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inspections and calibration of temperature/pressure sensors. Technical Consultation: Act as a subject matter expert for the Sterile Processing Department (SPD); advise management on equipment lifecycle, adverse
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Electronic Engineering At UCD, we're developing a novel optical tactile sensor that gives robots a human-like sense of touch enabling them to securely yet gently handle soft, fragile, or irregular objects like
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light with matter, photoacoustics, biophotonics and laser ultrasound methods, all the way to integrated photonics, structured optical materials and sensor technology. The group investigates these topical
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, and include, for example, semiconductor materials, thermoelectric materials, piezoelectric materials, luminescent materials, and sensor materials. In particular, post-silicon materials such as wide-gap
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on specific environmental sampling techniques, safety, and operation of computer analysis programs. https://www.uidaho.edu/idaho-ag-experiment-station/centers/kimberly Responsibilities Job Duty Function Assist
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data, model-based simulation coupling, and uncertainty-aware outputs for lab/clinical validation. Work with 3D datasets, time-series sensors, and multi-omics or assay data to create predictive models and