22 computational-physics-"https:"-"https:"-"https:"-"https:"-"Ulster-University" Postdoctoral positions at Aalborg University in Denmark
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communication and computation co-design enables scalable interaction among networked AIs, paving the way toward embodied intelligence in large-scale physical systems. Your competencies Prospective applicants
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theory, physics, mathematics, computer science, and statistics. This Postdoc position falls under Research Thrust RT4 on Reliability and Trustworthiness. The objective is to explore and address research
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methods, design interventions, and digital/computational methods to engage users, publics, and partners in exploring dilemmas, controversies, and paths to sustainable and desirable futures. We strive
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”, starting from May 2026 or soon hereafter. Offer Description The 3-year project is funded by the Energy Technology Development and Demonstration Programme (EUDP) and aims to deliver a standardised, robust
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the European Research Council project REVIVE, combining experimental, analytical, and computational approachesofbatteries.Thismultidisciplinaryandhigh-visibilityenvironmentprovidesexcellent opportunities
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of electromagnetic theory, microwave principles, and computational electromagnetics (FDTD, FEM, MoM). Research experience with mechanically beam-steering, multiband/shared-aperture antennas, or antenna array synthesis
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Postdoctoral Position in Probabilistic Machine Learning for Spatio-Temporal Data Modelling A postdoctoral position is available at the Department of Computer Science, Aalborg University Copenhagen
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advanced modelling, data analysis, and algorithmic development. Your tasks will support our core research focus of mathematical and computational approaches to design and implement solution algorithms, with
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characterization with scanning electron microscopy is a plus Experience with computational tools such as MATLAB, Python or relevant tools Ability to work independently and collaboratively in a multidisciplinary team
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. Your competencies We thus imagine that you: have a strong background in digital signal processing and machine learning; have substantial experience with scientific computing in Python/C++/ROS; know