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initiative. Hunger for learning "new" things. Independent and critical attitude. Strong work ethic and integrity. Candidates who have experience in any of the following attributes: Experience applying deep
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knowledge in software integration methods. Knowledge in machine learning and deep learning methods. Knowledge in OpenCV, ROS, and Gazebo. Well organized and excellent time management skills. Excellent command
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-touch monitoring, telemetry analysis and controlling of 6G communication systems. You will leverage state-of-the-art AI/ML techniques such as Reinforcement Learning, Deep Learning, Bayesian Learning and
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knowledge in software integration methods. Knowledge in machine learning and deep learning methods. Knowledge in OpenCV, ROS, and Gazebo. Well organized and excellent time management skills. Excellent command
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. Experience with data-driven and/or deep learning approaches and/or algorithmic decision-making, Interest in applying AI in infrastructure networks; Good programming skills in Python; Familiarity with deep
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one of the following fundamental areas: Physic-informed graph neural networks: The goal here is to leverage physic information from the medium (such as PDE models) to develop deep learning solutions
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Job related to staff position within a Research Infrastructure? No Offer Description What if you could’ve been there for the start of the internet? Or witness the birth of deep learning? At the TU
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system dynamics, quantitative modelling and simulation, and policy analysis. You are familiar with decision-making under deep uncertainty, or are keen to learn. You thrive on conducting research geared
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advanced System Dynamics skills, and incorporate systems thinking. You are familiar with decision-making under deep uncertainty, or are keen to learn. You thrive on conducting research geared to real-world
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verge on the fundamental, e.g. by deep-diving into physical aspects affecting precision or accuracy. Alternatively, your research could be geared to developing new techniques and algorithms for novel