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Master/engineer degree in computer science, applied mathematics, data science with background in image processing, imaging inverse problems, deep learning and optimisation. Good coding skills for numerical
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revisit discretization methodologies in view of modern requirements and computational capabilities. The candidate will focus on developing mesh generation algorithms meeting the following criteria
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on Neural Information Processing System [20] Anish Agarwal, Munther Dahleh, and Tuhin Sarkar, A marketplace for data: An algorithmic solution, in Proceedings of the 2019 ACM Conference on Economics and
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pool of leukemic cells in sanctuary lymphoid organs leading to transformation in high-grade lymphomas. 3) the elaboration of computational prediction tools of progression and new preclinical models
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genetics, genomics, imaging processes, computational biology and biochemistry. Our goal is the deep and detailed understanding of fundamental mechanisms in plant biology that may then also be used to develop
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both spoken and written is required The candidat must have a Master (M2) of data science, computer science, applied mathematics The position is available starting from October. Salary according
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stimulation), and O. Marre (neural coding and computational modelling in the retina).
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topological textures. A wide range of applied functionalities could be considered: terahertz sources, unconventional computing and AI, security components, telecommunications, sensors, memories etc.
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schools History News 2025 School Introduction Registration Program Committees Sponsors Contact Repository Lectures by topic Lectures by author Search lectures 2024 2023 2022 2021 2020 2019 2018 2017 2015
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Description of the offer : Spin vertical external cavity surface emitting lasers (spin-VECSELs) reveal unprecedented advantages of spintronics for applications beyond magnetoresistance and have the potential to form a new generation of optical communication systems. Till now, the circular...