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, supply chain systems, and transportation systems. We also currently host methodological research in data analytics, machine learning, human systems engineering, optimization, simulation, and stochastic
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, dimensionality reduction and/or machine learning methods (e.g., Lasso, ridge regression) is highly desirable. Familiarity with neurostimulation, Parkinson’s disease, or neuropsychological assessment tools is
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(iii) complex architectures with tightly coupled components hinder modular adaptation. To address these limitations, we research a physics-guided machine learning framework that integrates physical
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30 Dec 2025 Job Information Organisation/Company AMBER laboratory Research Field Engineering » Electrical engineering Researcher Profile First Stage Researcher (R1) Positions PhD Positions Country
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public. • Ability to communicate effectively across cultural boundaries and work harmoniously with diverse groups. • Demonstrated ability to effectively teach electrical, robotics, or computer engineering
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understanding of how acoustic waves are generated and transmitted in wells. The LeDAS project aims to overcome these challenges by combining physical modelling, advanced signal processing, and machine learning in
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, engineering, physics, biophysics, applied mathematics, computational biology or a related quantitative field Strong background in deep learning for image analysis / computer vision, ideally on microscopy time
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. Previous experience with machine learning applications in molecular modelling, including experience with at least three of the following Python libraries: TensorFlow, PyTorch, JAX, RDKit. Previous
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Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | 8 days ago
machine learning, 3D visualisation and real-time images (augmented reality). The main robot will the Tiago++, by PAL Robotics, which is a modern omnidirectlonal, bimanual robot. With the help of a PhD
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application! We are looking for one or more PhD student(s) to the Division of Communication Systems at the Department of Electrical Engineering (ISY). Your work assignments Much of the traffic in 6G networks