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experimental parameters (time, temperature). To optimize these parameters, active learning techniques based on Bayesian optimization will be applied. In situ or ex situ characterizations (FTIR, ¹¹B/¹H NMR, HP
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Bioinformatics expertise of Dr. Raimondi on the development of GI NN methods and their application to relevant biological problems with the expertise of Dr. Bry and Dr. Trottier on the statistical inference
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of the Drosophila wing disc and observing their opening patterns, we can infer incompatibility. This will allows us to integrate insights from cell-level and tissue-level work into a 3D continuum model
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methods for causal inference. Nature Communications, 14(1), Article 1. https://doi.org/10.1038/s41467-023-37194-5 Delalandre, L., Gaüzère, P., Thuiller, W., Cadotte, M., Mouquet, N., Mouillot, D., Munoz, F
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additional modification. This phenomenon gives rise to out-of-plane ferroelectric domains. The goal of this postdoctoral position is to optically detect, track, and ultimately control the ferroelectric state
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of Research Experience1 - 4 Additional Information Eligibility criteria We are looking for highly motivated candidates with a proven track record of scientific achievement through publications in international
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analysis of data from the ATLAS experiment. The L2IT team plays a leading role within the ATLAS collaboration in the reconstruction of charged particle tracks using geometric deep learning (GDL). The person
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(fMRI), and eye-tracking measurements (main task) – Data analysis (main task) – Interpretation of results (main task) – Dissemination of findings through the writing of scientific articles (main task
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. - Experience in coding (python or other computer language). - Proven track record of publications in peer-reviewed journals. - English (written/oral) level of at least B2 (according to the common European
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experience with either in vivo extracellular electrophysiological recording or with in vivo fiber photometry; - have an academic track record proven by publications in the field of circuit neuroscience