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to develop Computer Vision algorithm and Interfaces for collaborations with Historians teams. Specifically, the research will focus on structured data with clear repeated patterns, such as characters in a text
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Is the Job related to staff position within a Research Infrastructure? No Offer Description The researcher will use and further develop ptychography algorithms for transmission electron microscopy data
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(multilayer) low-rank tensor decompositions [5,6,7], which supply a rigorous mathematical framework to develop new algorithms and model architectures and to understand their behavior. These techniques will be
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the specific characteristics of different sectors (services, manufacturing, finance, health, etc.) and types of companies in order to refine the recommendations. Design and development of an AI recommendation
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for achieving the desired mechanical and functional properties of the final structures. Unlike conventional DIW systems or the recently developed FL3DP technique that operate on fixed Cartesian coordinate with a
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candidate will lead the solution of these open problems through the development and implementation of RL algorithms. They will have the opportunity to make a significant impact in the field of trustworthy and
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Laboratoire National de Métrologie et d'Essais - LNE | Paris 15, le de France | France | 25 days ago
”) for reference data generation. Research developed in EMPIR project 15SIB01 FreeFORM on reference software and the generation of reference data for validating min-max and least-squares fitting algorithms
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Inria, the French national research institute for the digital sciences | Saint Martin, Midi Pyrenees | France | 3 days ago
for execution on the different workers according to a scheduling algorithm aiming at minimizing the graph execution time. Deisa extends Dask so it becomes possible to couple a MPI-based parallel simulation code
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of an effective system for rapid and robust storage and optimised processing of large quantities of collected data. 2. Development and improvement of algorithms for processing acquired geophysical data in order to
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creation of a database for the various pollution sensors with a view to training online (non-embedded) models in the first instance. - Development of a machine learning algorithm based on the study database