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Field
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systems, from the physical fabrication of flexible printed circuit boards (FPCBs) to the implementation of machine learning algorithms for real-time signal analysis. The postdoc will collaborate in a
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 3 months ago
strategies, signal processing algorithms and simulation platforms for goal-oriented semantic wireless systems. Drive a high-impact ARC Discovery Project aimed at advancing sovereign telecommunications
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of PhD and MS Theses (if available). If you have any questions, please email Prof. Muhammad Shafique at [email protected] . About NYU Abu Dhabi https://nyuad.nyu.edu/en/ NYU Abu Dhabi is the first
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The position will be attached to the project “SURE-AI” (http://www.sure-ai.no/ ) funded by The Research Council of Norway, and lead by Simula Research Laboratory. The main focus of the research will be
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actively on the preparation and defence of a PhD thesis in the field of explainable reinforcement learning (XRL). Explainable reinforcement learning aims to make decisions, policies, and learning processes
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actively on the preparation and defence of a PhD thesis in the field of continual reinforcement learning. Continual reinforcement learning studies how agents can learn across a sequence of changing tasks
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Engineering is looking for a full-time (100%) doctoral scholarship holder in the field of Artificial Intelligence. Position You will work actively on the preparation and defence of a PhD thesis in the field
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sensing technologies (camera, Electromagnetic tracking system, FBG sensing) with continuum robotic systems and development of associated sensing and estimation algorithms 3D environment reconstruction based
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Łukasiewicz Research Network – PORT Polish Center for Technology Development | Poland | 2 months ago
models. Increasing the performance of integration algorithms and model simulations, and developing machine learning methods for analyzing genomic data. Where to apply Website https://system.erecruiter.pl
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Systems At the Institute of Climate and Energy Research – Energy Systems Engineering (ICE-1), our focus is on developing models and algorithms for simulating and optimising decentralised, integrated energy