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science, energy, national security, and health. Our researchers develop scalable machine-learning models, deep-learning architectures, and data-driven methods for platforms ranging from edge sensors and
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programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Postdoctoral position in Systems and Hardware Security The Computer Security Group is a research group in
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learning (RL). 2) The Automation Group: Experts in designing and deploying custom robotic systems engineered for high-throughput sample synthesis, processing, and analytical characterization. This role is
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mammal bioacoustics; machine learning; Bayesian statistics; statistical simulations of individual/group behavior; spatially explicit capture-recapture modeling; and/or habitat modeling are preferred
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machines, sequential logic, and fault handling in automated systems Ability to specify, wire, and commission PLC hardware, I/O modules, sensors, and actuators Ability to design APIs, message interfaces, and
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machine learning, Computer vision, Swarms, Autonomous Robots, hardware security, and Embedded systems development is desired. The successful applicant will work on various projects on robotics and computer
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, testing and benchmarking of hardware components for edge computing and learning; conduct research and implement prototypes of onboard AI for SAR; support ESA’s Φ-lab staff with external R&D activities
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Max Planck Institute for Physics, Garching | Garching an der Alz, Bayern | Germany | about 1 month ago
assets include strong programming skills, experience with modern machine-learning techniques such as neural simulation-based inference or transformer architectures, and familiarity with fitting methods and
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of creating robust radio frequency fingerprinting (RFF) systems using machine learning. The successful candidate will have significant experience in signal processing or machine learning, and an outstanding
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fingerprinting (RFF) systems using machine learning. The successful candidate will have significant experience in signal processing or machine learning, and an outstanding track record in conducting research. You