129 algorithm-"DIFFER"-"Foundation-for-Research-and-Technology-Hellas" Postdoctoral positions
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- NEW YORK UNIVERSITY ABU DHABI
- CNRS
- Delft University of Technology (TU Delft)
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- Nature Careers
- University of Southern Denmark
- Inria, the French national research institute for the digital sciences
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- AALTO UNIVERSITY
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- Delft University of Technology (TU Delft); yesterday published
- George Washington University
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- Delft University of Technology (TU Delft); Delft
- Delft University of Technology (TU Delft); Published 11 Nov ’25
- Forschungszentrum Jülich
- Imperial College London
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- Instituto Superior Técnico
- International Iberian Nanotechnology Laboratory (INL)
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- The Cyprus Institute
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- Télécom Paris
- UNIVERSITE DE TECHNOLOGIE DE COMPIEGNE
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- Universidade do Minho - ISISE
- University Miguel Hernandez
- University of Adelaide
- University of Amsterdam (UvA); Published 21 Nov ’25
- University of Amsterdam (UvA); Published today
- University of Amsterdam (UvA); today published
- University of Bergen
- University of Central Florida
- University of Namur
- University of Nevada, Reno
- University of North Carolina at Chapel Hill
- University of Oklahoma
- University of Oulu
- University of Turku
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- University of Tübingen
- University of Virginia
- University of Washington
- Université Grenoble Alpes
- Université Toulouse III Paul Sabatier
- Université de Bordeaux / University of Bordeaux
- Uppsala universitet
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Research Infrastructure? No Offer Description Job description You will explore hardware/algorithm co-design for NeuroAI, simultaneously taking into account scalability inspired by modern AI workloads, as
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increasing environmental awareness. However, most existing hearing aid algorithms optimize for only one of these objectives at a time, often at the expense of the others. To enhance hearing aid performance
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make a difference in the world! Position Information The selected candidate would assist a team of ecosystem modeling scientists to perform process-based ecosystem models based research and develop
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, algorithmic aspects, such as Parallelization, Fisher Information and Maximum Likelihood Estimation, with optical theory. Department of Imaging Physics Research in the department of Imaging Physics is aimed
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construction, and a robust foundation in statistical spectral analysis, including familiarity with (or strong interest in) chemometrics and/or machine learning algorithms. Job requirements The Ideal Candidate
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for three consecutive periods (2014-2018 and 2018-2022 and 2023-2026). ICN2 comprises 19 Research Groups, 7 Technical Development and Support Units and Facilities, and 2 Research Platforms, covering different
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expertise and an established track record in machine learning across different data domains of mental and/or neurological disorders. Experience in analysing high-dimensional data such as structural and/or
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expertise and an established track record in machine learning across different data domains of mental and/or neurological disorders. Experience in analysing high-dimensional data such as structural and/or
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algorithms (convex/nonconvex, stochastic/robust, MPC) for real-time dispatch, frequency regulation, and DER coordination. Integrate data-driven and physics-informed approaches for state estimation, forecasting
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some people develop long-lasting sequalae and how these the prognosis vary between phenotypes. Our goals are to: Identify different types of PCC in order to provide more tailored rehabilitation and