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psychoacoustics to computational neuroscience to create a genuinely interdisciplinary research environment. The Institute is located nearby the Vision Institute , thereby creating a center for system and sensory
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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | about 2 months ago
Framework Programme? Not funded by a EU programme Reference Number 2025-08696 Is the Job related to staff position within a Research Infrastructure? No Offer Description The transition to a low-carbon future
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13 Feb 2025 Job Information Organisation/Company CNRS Department Institut de recherche en informatique et systèmes aléatoires Research Field Engineering Computer science Mathematics Researcher
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Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The successful candidate will lead a research project
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history. In this role, you will help us achieve Impresso's goal to link historical newspaper and radio collections and to develop novel interfaces to enable their exploratory and computational analysis
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(FSTM) at the University of Luxembourg contributes multidisciplinary expertise in the fields of Mathematics, Physics, Engineering, Computer Science, Life Sciences and Medicine. Through its dual mission
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Job Status Full-time Hours Per Week 35 Offer Starting Date 1 Jun 2025 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position
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Application Deadline 28 Mar 2025 - 23:59 (UTC) Type of Contract Temporary Job Status Full-time Hours Per Week 35 Offer Starting Date 2 Jun 2025 Is the job funded through the EU Research Framework Programme? Not
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funded through the EU Research Framework Programme? Not funded by a EU programme Reference Number FM-MOFs Is the Job related to staff position within a Research Infrastructure? No Offer Description You
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previously unknown gene functions. The work will be primarily computational, focusing on the development of deep neural network model architectures and their training. It will involve extending the preliminary