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Field
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The Department of Electronic Systems at The Technical Faculty of IT and Design invites applications for PhD stipends or integrated stipends in the field of Machine Learning for Intelligent Hearing
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Department: Electrical and Electronic Engineering Title: Intelligent Distribution System Operation for Low-Carbon Power Systems Application deadline: All year round Research theme: Power and Energy
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of Electrical & Computer Engineering (ECE) invites you to apply for a 3-year researcher position (post doc level). Expected start date and duration of employment This is a 3–year position from April 1st 2026
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Project description Electromagnetic (EM) sensing is emerging as a powerful enabling technology for modern high-value manufacturing. Advances in computing power and machine learning now allow us to
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energy consumption by 5–6% and decrease carbon dioxide emissions by around 5%, the current renovation rate remains below 1% per year. In this context, the HORIZON-CL5-2024-D4-02-02 funded project RADIANCE
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Max Planck Institute for Intelligent Systems, Tübingen, Tübingen | Bingen am Rhein, Rheinland Pfalz | Germany | about 1 month ago
, biology and medicine. Using unique 3D & 4D capture facilities, machine learning, computer vision and advanced graphics, we are modeling every nuance of how humans and animals look and move. We develop
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: 30,00 | Classification CBA: §48 VwGr. B1 Grundstufe (praedoc) Limited contract until: 30.04.2029 Job ID: 5311 The work group Machine Learning with Graphs of the subunit Data Mining and Machine
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3 Apr 2026 Job Information Organisation/Company VUB Vrije Universiteit Brussel Department Mechanical Engineering Research Field Engineering » Computer engineering Engineering » Control engineering
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challenging set of design and reliability constraints for the surrounding electrical and thermal systems. A key concern is that the proximity of power converters to electrical machines makes it likely that the
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Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | 8 days ago
mechanism in many diseases. However, current computational approaches remain largely limited to static representations of biomolecules, limiting our ability to fully understand conformational heterogeneity