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Field
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Job Description Are you looking to grow your career in intelligent embedded systems and edge computing? Join the Embedded Systems Engineering (ESE) research section at DTU Compute , where your
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to serve teaching, research and innovation. As part of the ANR projects LEASARD and VORTEX, which aim to increase the navigation autonomy of drone fleets in complex environments via embedded AI and event
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at Durham, working in hardware and embedded security, confidential computing, trusted execution, secure AI, and related areas. This post is suitable for candidates with a wide range backgrounds relevant
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at Durham, working in hardware and embedded security, confidential computing, trusted execution, secure AI, and related areas. This post is suitable for candidates with a wide range backgrounds relevant
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instrumentation of technical processes and systems, with close connection to applications and applied research. Project description Your work will be embedded into a cutting-edge research project dedicated
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with neuromotor conditions; assist in designing and developing embedded systems for sensing, stimulation and closed-loop computation; assist in the recruitment and screening of patients with neuromotor
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highly motivated and technically proficient researcher in Control and Embedded Systems Engineering to support the development and deployment of intelligent, safety-enhanced BMS technologies within a
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About the Opportunity This postdoctoral position offers an opportunity to conduct leading-edge research in embedded security with applications to healthcare and medical device cybersecurity
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embedded into a cutting-edge research project dedicated to the development of advanced AI-based techniques for radiofrequency spectral monitoring across a wide range of highly relevant applications
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; - Experience with data processing techniques. Desirable knowledge of methods such as Neighborhood Components Analysis (NCA), Locally Linear Embedding (LLE), and t-distributed Stochastic Neighbor Embedding (t-SNE