158 algorithm-development-"Multiple"-"Simons-Foundation"-"Prof"-"UNIS" PhD positions in France
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- CNRS
- Inria, the French national research institute for the digital sciences
- Nature Careers
- Université Grenoble Alpes
- CNRS - Institut Lumière Matière
- European Magnetism Association EMA
- Institut Pasteur
- Anthogyr
- Ecole Normale Supérieure
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- European Synchrotron Radiation Facility
- FEMTO-ST
- Gustave Roussy Cancer Campus
- IMT Nord Europe
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- Institut de chimie des milieux et matériaux de Poitiers - Equipe SAMCat
- Nantes Université
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- Université Bourgogne Europe
- Université Paris-Saclay (UPS)
- Université Paris-Saclay GS Mathématiques
- Université Savoie Mont Blanc
- Université de Bordeaux - Laboratoire IMS
- Université de Bordeaux / University of Bordeaux
- Vision Institute
- École nationale des ponts et chaussées
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The Machine Learning for Integrative Genomics team at Institut Pasteur, headed by Laura Cantini, works at the interface of machine learning and biology, developing innovative machine learning
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whole at a collective level. The development of non-technical skills remains an integral part of the core competencies students are expected to acquire during their university studies. In this context
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interventions, creating environmentally sustainable devices, and developing simulators to reduce reliance on in vivo testing. The training network is interdisciplinary, integrating various fields such as
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, with a dynamic international exposure animated by regular seminars and meetings. The Laboratoire de Biochimie Théorique (LBT) is internationally recognized for developing and applying computational
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(Decarbonising Energy-intenSIve industries with REnewable synthetic fuels) is a Marie Skłodowska-Curie (MSCA) Doctoral Network, designed to train the next generation of specialists in e-fuel utilization. DESIRE
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to date. We contribute a multidisciplinary research effort aiming at developing biomimetic LH materials - i.e. efficient at transporting EEE within thousands of dyes - for applications to light energy
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project is to develop the next generation of solar jet propagation models from the lower atmosphere to the inner heliosphere, and to allow a direct comparison with real in-situ data of the early solar wind
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. Objectives: This PhD project aims to prepare and characterized nanostructured biofilm-repellent surfaces on titanium dental implants to evaluate the clinical performance of biomimetic and personalized
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on characterizing the structures and functions of viral RNAs, with potential applications for the development of new antiviral therapeutic approaches. The IBMC is a renowned research unit under the supervision
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controlled via structural phase transitions or external fields. The successful candidate will develop and apply a range of theoretical and computational methods based on first-principles electronic structure