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Field
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, sensing, and computing within a single unified network. These positions will involve advancing fundamental theories and the enabling technologies needed for simultaneous communication, sensing, computing
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Sciences Administration Our laboratory is seeking a Postdoctoral Research Scholar to pursue postgraduate training under the guidance of Dr. Sanja Ilic, PhD, Human Nutrition, Department of Human Sciences, and
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) Country Sweden Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a
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40 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Reference Number WBiNŚ.110.8.2026 Is the Job related to staff position within a Research Infrastructure
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Postdoctoral Appointee - Uncertainty Quantification and Modeling of Large-Scale Dynamics in Networks
The Mathematics and Computer Science (MCS) Division at Argonne National Laboratory invites outstanding candidates to apply for a postdoctoral position in the area of uncertainty quantification and
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Postdoctoral Researcher in Natural Language Processing and Digital Humanities (18 months, full-time)
workshops. Qualifications Applicants must hold a PhD degree (or equivalent) in a relevant field. Suitable disciplinary backgrounds include but are not limited to: Computer Science, Data Science, Artificial
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strong collaboration with Dr. P. D. Serpico. The position will provide access to CNRS/LAPTh computing resources, travel support, and a vibrant research environment involving several PhD students and
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for Applicants. Throughout the programme, researchers will benefit from tailored mentoring by dedicated UPPA supervisors, close collaboration with a financed PhD candidate, and a 3–6-month research secondment at a
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science and industrial groups About you: PhD in physics, mathematics, quantum information or similar fields Knowledge in Quantum Computing Experience in the analysis and simulation of experiments in
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the development of mathematical models for signal transmission and reception, derivation of fundamental performance limits, algorithmic-level system design, and performance evaluation through computer simulations