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About us The University of Luxembourg is an international research university with a distinctly multilingual and interdisciplinary character. The Faculty of Science, Technology and Medicine (FSTM) at the University of Luxembourg contributes multidisciplinary expertise in the fields of...
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chemistry, bioinformatics, or a related field §you have mastered molecular modeling techniques, machine learning algorithms, and programming languages like Python §you are highly collaborative, with excellent
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information sources and to provide the relevant analysis of all the available variables in different scenarios conditions. In order to reach this goal, deep learning-based algorithms will be implemented
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17 Jan 2026 Job Information Organisation/Company CNRS Department Laboratoire d'Informatique, Signaux et Systèmes de Sophia Antipolis Research Field Computer science Mathematics » Algorithms
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Inria, the French national research institute for the digital sciences | Pau, Aquitaine | France | about 1 month ago
the following for the second part: - Learning-based regularization and their efficient combination with standard algorithm. Use of genetic algorithm to avoid local minima? - Representation / Improvement of a
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the project activities. – Assist in the dissemination of project results through presentations, publications, and stakeholder engagement. Development of algorithms (80%) – Conduct a comprehensive review of the
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, or experimental protocols that can support further research. The work may also contribute to collaborations with industrial partners, or the development of new methodologies and algorithms, enhancing both
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Evolutionary Biology (LBBE - https://lbbe.univ-lyon1.fr/ ) under the direction of Carina MUGAL and co-direction of Laurent DURET. The PhD student will be provided with an office space and a laptop, and will also
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, soil, and plants aid in the collection of real-time data directly from the ground. Based on these historical data predictive machine learning (ML) algorithms that can alert even before a problem occurs
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on the complementary expertise and recognized excellence of its 22 research teams to contribute to the development of the fundamental aspects of computer science (models, languages, methods, algorithms) and to foster