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access to the unobserved values, and therefore, cannot compute this error. The goal of this postdoc will be to develop a direct method, based on self- supervised learning. The closest related works are two
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morphological variability in embryos and to provide a quantitative, comparative, and automated framework for studying embryogenesis. The work will be structured around two main axes: 1. Morphological
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biology, multi-scale imaging, and evolutionary cell biology. You will work closely with the group leader to coordinate and assist PhD students and postdocs in achieving the laboratory’s scientific goals. In
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machine learning or theoretical biophysics or computer science Conditions. Postdoc position funded by Centre Inria at Université Côte d’Azur, France. The position is located in Sophia-Antipolis, French
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modeling the dynamic of the data evolution is clearly important. The purpose of this postdoc position, within the Institut 3IA Côte d'Azur (Univ. Côte d’Azur & INRIA), will be focused on the development and
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insights into scale-up and process feasibility across collaborative initiatives. Train and supervise junior engineers, technicians, PhD students, Postdocs, and interns in process development and safety. Is
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their potential impact. The aim of this thesis is to develop automated methods for the real-time detection and classification of solar radio bursts from spectrogram of data. The proposed approaches are required
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configurations. Exploring these vast and heterogeneous design spaces is computationally demanding, often requiring costly simulations and automated optimization loops to efficiently navigate trade-offs and
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), Dedicated HPC solvers (domain decomposition, parallel/distributed computing), Formulation and solution of optimisation problems (automation, optimal structural design). The developments will follow open
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physical electronic elements (apart from the control system of the metamaterial). The advantage would be no external energy required for computing (apart from the control system), way lower electromagnetic