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Post-doctoral Researcher in Multimodal Foundation Models for Brain Cancer & Neuro-degenerative Disea
Qualifications PhD in machine learning, computer vision or a related field. Established expertise in deep learning methods applied to images analysis. Experiences with generative models, volumetric image
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Contribution to the development of microcell-based optical clocks at FEMTO-ST. Contribution to the progress/improvement of microfabricated vapor cell technology and/or clock frequency metrological performances
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Inria, the French national research institute for the digital sciences | Paris 15, le de France | France | 9 days ago
Pieter Abbeel. 2020. “Denoising Diffusion Probabilistic Models.” NeurIPS. [3] Song, Yang, Jascha Sohl-Dickstein, Diederik P. Kingma, Abhishek Kumar, Stefano Ermon, and Ben Poole. 2021. “Score-Based
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are seeking postdoc (M/F) in modelling of geomicrobiology (PhD-level position) in Marseille, France, to work on the European Research Council funded Starting Grant project 'SIESTA: The Role of Microbial
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Experience1 - 4 Additional Information Eligibility criteria Cyclodextrin-based materials, inclusion complexes Organic synthesis Characterization (HPLC, NMR, IR, etc.) Strong ability to integrate
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to work on a colloidal model system. The postdoctoral position, funded by an ANR grant (DiViNew), is open at the Gulliver laboratory (ESPCI Paris, PSL Research University). The project aims at developing a
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this, the postdoc will use innovative modeling based on the coupling of (1) a meteorological model adapted to the fine spatial scales of these systems and explicitly simulating turbulent structures, and (2) a
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Institut de Recherche pour le Développement (IRD) | Toulouse, Midi Pyrenees | France | about 1 month ago
/realistic hydro-social trajectories and scenarios using the SWAT model (Bieger, K. et al 2017); Proposing options and recommendations, based on the analysis of scenarios and ARDI (Actors, Resources, Dynamics
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called ANTARES which is used by the CEA-Itésé and NaTran teams to model the European power system. The project includes the development of a European-scale model, based on a combination of REMix and
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the framework of the ANR EmergeNS whose aim is to understand, through mathematical and computer models, the role that autocatalysis, multistability and spatial heterogeneity may have played in the emergence