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accessible measure of location. One option is to use skew versions of know distributions that leave the mode or median of the distribution at the origin. The main objective of this project is to explore, from
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complex, multi-objective optimization problem. It involves searching over materials, geometries and fabrication parameters to balance competing objectives such as coherence time, anharmonicity and
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Research Engineer/Postdoctoral Position Decision and Bayesian Computation (DBC) – Epiméthée (EPI) Laboratory Institut Pasteur, Paris | 25 rue du Docteur Roux, 75015 Paris Position Overview We
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Areas (Codes 25–29) 1. Machine Learning (Code 25) Objectives: Support UFABC’s undergraduate and graduate programs, strengthen research in Machine Learning, and expand English-taught course offerings
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. Training will cover modelling, quantitative analysis, and laboratory methods. OBJECTIVES O1. Build a spatiotemporal lineage atlas of the pre-implantation human embryo. The student will assemble high-content
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multidisciplinary teams, supporting colleagues to ensure successful delivery of shared objectives. E6 Experience of making distinct contributions to identifying and pursuing research funding (or equivalent business
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quality, avoiding the paralysis that troubles artificial algorithms when options seem equally good. This project asks: what objective functions do such biological systems optimise, and how can we use
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, less dependent on a strict observation model, and better adapted to both interferences and very low SNRs. Objective – Topic 1: Explore how the statistics and geometry of noise in the time–frequency
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Inria, the French national research institute for the digital sciences | Saint Martin, Midi Pyrenees | France | about 2 months ago
on models uncertainty. Currently, Breed method uses importance sampling technique and loss statistics. In the beginning, the objective is to get familiar with the domain and read about existing work
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learning models, including their strengths, deficiencies, and strategies for (hyper)parameter optimization. Prior use of Bayesian optimization or other relevant active learning algorithms is preferred