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Field
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are welcome to apply. MetaTune is committed to ensuring gender balance and fostering real equal‑opportunity access throughout the recruitment process. At the time they are hired, Doctoral Candidates must meet
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engineering, acoustics, machine learning or similar; Solid mathematical and analytical skills, including signal processing, optimization, machine learning or information theory; Experience in programming, e.g
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Institut National des Sciences Appliquées de Lyon | Villeurbanne, Rhone Alpes | France | 21 days ago
for the operation and safety of hydraulic installations. Furthermore, acoustic waves propagating inside the pipe can be a source of noise disturbance, especially in building-related applications. Developing effective
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distributed computational pipelines and optimizing communication costs. You will also contribute to the integration and testing of the models in real D-MIMO environments, in close collaboration with a PhD
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such as satellites, LEO constellations, fixed links, automotive radar, and Earth observation stations, using techniques from signal processing, communications theory, optimization, and AI. You will join the
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teaching in key and rapidly evolving areas such as autonomous systems, data-driven modeling, learning-based control, optimization, complex networks, and sensor fusion. Research at the division is
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“HydroCCS – Optimizing industrial-scale blue hydrogen production with liquid carbon capture enabling maritime logistics chains” in collaboration with SINTEF Energi AS, SINTEF Nordvest AS, Gassco AS, Aukra
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, mathematical engineering, acoustics, machine learning or similar; Solid mathematical and analytical skills, including signal processing, optimization, machine learning or information theory; Experience in
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development of early warning systems, risk assessment of pathogens; optimization of the calculation of disease burdens, visualization of complex correlations, Big Data analyses, automated analysis of high
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applications in forecasting, system optimization, flexibility management, and resilience analysis. The work will be carried out in close collaboration with our interdisciplinary teams at both Empa and EPFL, as