133 algorithm-"DIFFER"-"Foundation-for-Research-and-Technology-Hellas" Postdoctoral positions
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- NEW YORK UNIVERSITY ABU DHABI
- CNRS
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- Inria, the French national research institute for the digital sciences
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- Delft University of Technology (TU Delft); Delft
- Delft University of Technology (TU Delft); yesterday published
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- Delft University of Technology (TU Delft); Published 11 Nov ’25
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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 Turku
- University of Twente
- 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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Field
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opportunity to choose between two missions: • Mission 1: Improve new automated algorithmic schemes to quickly, efficiently and robustly detect and extract recorded geophysical signals related to earthquakes
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environment focusing on integrating multi-source satellite remote sensing data and developing novel algorithms to quantify agroecosystem variables for environmental sustainability. You will focus on processing
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. The open positions are attached to three different collaborative projects with related but distinct goals, all making use of our expertise in squeezing-based entangled states of light: ClusterQ (ERC): A
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algorithms where the agent can propose updates to its own world model structure, but these updates are only accepted after a formal verification step confirms that the new model still adheres to its core
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across time and contexts. Job Description: You will develop and apply mathematical models and machine learning algorithms to analyze the structure and evolution of knowledge systems across different
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for these radically different artefacts. Three objectives will be the determination of date, provenance, and production chain of both artefacts by experimental techniques combined with automated machine learning
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), and in vivo fiber photometry (TDT). We are particularly looking for a PhD-level systems neuroscientist with expertise in animal behavior tracking using deep learning algorithms and their causal link
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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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different institutions (CNES, CNRS, IRD, UT3). This position is part of the continuous scientific support to the ESA BIOMASS mission, contributing to the development and validation of higher-level forest
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space)? What are appropriate descriptors of spatial distribution in the field of materials science (e.g., Voronoi tessellations, particle-particle distances, etc.)? What are appropriate algorithms