50 machine-learning "https:" "https:" "https:" "https:" "https:" "Mines Paris PSL" Postdoctoral scholarships
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on advanced machine learning and emulation approaches. Key responsibilities: The candidates will be expected to work on the following tasks: - Develop machine learning (ML) methodologies appropriate
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*• Experience in Python or another programming language (projects, GitHub repositories, courses, scientific use).• Training or experience in machine learning and data science applied to environmental or energy
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skills in Python, Java, C++, etc. A solid foundation in generative AI, machine learning, and related areas. An Interest in eye-tracking technology, Computer Vision, Speech/ Language Processing, VR, and AR
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sciences.Tackling key problems in biology will require scientists trained in areas such as chemistry, physics, applied mathematics, computer science, and engineering. Proposals that include deep or machine learning
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. The University’s unique applied learning pedagogy integrates work and study, embedding authentic learning experiences within real-world environments. Through strategic partnerships forged by our faculty with
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theoretical methods and algorithms are required. The research project aims at deriving priors for Bayesian methods from atomistic simulations and machine learning. It also offers the opportunity to work with
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on the score of their academic qualifications. VII.VIII -All provisional and final jury decisions must be justified, recorded in minutes, and published on https://apply.uc.pt/ . VII.IX -Jury Composition
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-time PCR; Experience in aptamer selection methods; Curricular experience with laboratory practice and/or evidence of professional experience in the field; Basic computer skills from a user perspective
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to apply Website https://www.unilim.fr/recrutement-post-doctorant-chimie-organique-chimie-molecu… Requirements Research FieldChemistry » Organic chemistryEducation LevelPhD or equivalent Skills
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of this project for a one-year period (100% full-time commitment) to make a significant contribution to the implementation of machine learning (ML) algorithms. The postdoc is expected to have proven experience in