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technologies generate large volumes of heterogeneous data and often require advanced technical expertise to operate, configure, and interpret. This PhD project will explore how Large Language Models, Natural
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Inria, the French national research institute for the digital sciences | Sophia Antipolis, Provence Alpes Cote d Azur | France | 3 months ago
on this topic, implement and test prototypes, and prepare scientific communications. Research activities, namely: Literature review Prototyping and experimentation Analysis of results Communication Where to apply
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, and component failures; • Ensure a high level of resilience to incidents affecting equipment, sensors, or communication infrastructure. However, traditional protection and monitoring methods
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Belfort-Sévenans. The primary objective of this doctoral thesis is to reconsider current models related to economic structures and the connectivity of human communities during the early Middle Ages (6th
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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The PhD candidate will be recruited within IJCLab (http://ijclab.in2p3.fr
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Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | 3 months ago
infrastructures such as IPFS (https://ipfs.io/ ) and Matrix (https://matrix.org/ ) on which we can plug replication mechanisms for file system synchronisation. Data replication algorithms have to be reliable (i.e
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investigates behavioural and cognitive processes involved in major mental functions (perception, attention, memory, language and temporality). It explores the neural basis of these functions, as
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neuroscience research. The project is exclusively devoted to fundamental academic research and is conducted within the framework of publicly funded scientific research activities. Where to apply Website https
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written communication skills (French and English) - Team spirit - Enthusiasm for working with live animals and for fieldwork Where to apply Website https://emploi.cnrs.fr/Offres/Doctorant/UMR5169-RAPJEA-003
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learning, particularly flow-matching generative models and protein language models. The research will focus on designing efficient generative models able to produce realistic conformational ensembles while