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reference. The position is focused on the development of a performance evaluation methodology of a MAC protocol for PHY/MAC for Cell-less distributed operation. Scientific Area: Wireless Technologies Group
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, Engineering and Management, Materials Technology, Materials Sciences, Nanosciences, Nanotechnology Description Description Join a multidisciplinary research environment at Forschungszentrum Jülich to develop
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: courses related to the position (punctuation: 15) Item 03: Verifiable experience related to the work to be developed (punctuation: 40) Item 04: Personal interview. The interview will be conducted only with
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Research Infrastructure? No Offer Description Testing of components for the space and defense sectors, as well as software development for electronic and communications systems in the field. Hardware
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École nationale des ponts et chaussées | Champs sur Marne, le de France | France | about 1 month ago
of publications, experience in developing Computer Vision algorithms, experience in collaborating with non-experts (ideally historians), and experience in designing web interfaces. Please send a CV and
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that are interested in developing computer models of the composite human neuro-muscular system that combine detailed musculoskeletal geometries, muscle-tendon models and neural control pathways (e.g., CPG-like and
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advanced seismic methods (including array processing, machine learning, and potentially distributed acoustic sensing) to develop novel approaches for monitoring unsteady and non-uniform flood flows across
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have an excellent Researcher Development programme, and wider institutional postgraduate training. We are committed to supporting a strong and growing PGR community, including PGR-Led activities
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Current reseach is in the areas of: Development of biomimetic structures as ultrasound contrast agents Deep tissue imaging using photoacoustic contrast agents All optical photoacoustic sensors
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to agent-based and computable general equilibrium modeling, led by five team members. The first three pillars concern the development of computational agent-based models to explore three different channels