306 algorithm-development-"Newcastle-University"-"Newcastle-University" Postdoctoral positions in France
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, Information and Algorithms Cluster (GAIA). Shared services within the Administrative and Financial Cluster and the Technical Cluster support the research. GIPSA-lab has approximately 350 employees, including
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des Fluides et d'Acoustique - LMFA) develops a continuum of research in fluid mechanics and acoustics, from the understanding and the modelling of physical phenomena to applied research, in
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reconstruction algorithms. Inconsistencies can be used to correct the input data, for example to improve attenuation correction. The aim of this postdoc is to correct rigid motion in SPECT reconstruction based
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programme Is the Job related to staff position within a Research Infrastructure? No Offer Description This position concerns a 2 years contract for the development of experiments on complex biomolecular
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the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Our laboratory develops and exploits
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Inria, the French national research institute for the digital sciences | Pau, Aquitaine | France | 13 days ago
opportunity in computational inverse problems in the context of the ERC-StG European project Incorwave which aims to develop advanced numerical and mathematical strategies for passive imaging. This postdoctoral
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(funded by the French National Research Agency, ANR JCJC) aims to develop a new theoretical and numerical framework to describe correlated electron–positron dynamics in atoms, and to identify experimentally
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symmetry and excitation processes on vibrational spectra, as well as participate in the development of methods integrating new laser technology. The candidate will work within the framework of the ANR
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develop machine learning approaches (deep learning) to understand the eco-evolutionary mechanisms underlying biological diversity from environmental (phylo)genomic data. - Methodological developments in
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potential. This post-doctoral project aims to develop a predictive model of tumor growth based on artificial intelligence (AI) approaches capable of integrating data from morphological MRI and MRS