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1st October 2026 Languages English English English The Department of Electronic Systems has a vacancy for a PhD Candidate in Machine Learning & Signal Processing for Industrial Applications Apply
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SINTEF, Equinor, and Total. The main objectives of the project include the development and the integration of signal processing and machine learning methodologies aiming to improve flow assurance via field
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modern machine learning, statistical signal processing, or optimisation to turn heterogeneous knowledge (channel/network state, maps and topology, mobility, hardware constraints, and task-level KPIs
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and research Come to CEITEC MU in Brno and join us! We are Tripsianes group CEITEC MUNI: Posts | LinkedIn, looking for a PhD Candidate in (Un) Structural Biology of Wnt Signaling About this position
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predicts something important? This project will uncover the neural circuits that transform visual information into dopamine signals that teach the brain about motivation, action and decision-making
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29 Jul 2026 Job Information Organisation/Company University of Lleida Department Experimental Medicine Research Field Neurosciences » Neurobiology Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 17 Aug 2026 - 12:00 (Europe/Madrid) Country Spain Type of...
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. Calcium signalling pathways are therefore essential for plants to respond and adapt to environmental stimuli and stresses. Flowering plants, such as the model plant Arabidopsis thaliana, have extensive
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reuse are currently made across different European contexts. You will map and analyse existing decision-making processes and strategies using qualitative research methods. Based on your findings, you will
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a good MSc or a with a PhD awarded or close to completion (or equivalent experience) in UAV data processing, GIS or related disciplines, and who is motivated to develop deployable and repeatable UAV
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. The research combines robotics, computer vision, artificial intelligence, machine learning, control systems, and medical robotics to solve one of the most challenging problems in modern automation. Project