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(MEMLANG): How we store and retrieve linguistic information , led by Jakub Dotlacil, at the Institute for Language Sciences (ILS), Utrecht University. Together with an interdisciplinary team, you will
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, enabling enhanced reasoning, adaptability, and performance in real-world scenarios. The position is embedded within the Information Retrieval Lab (IRLab), under the supervision of Maarten de Rijke. It is
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community). What we ask of you We are looking for enthusiastic and curious candidates who meet the following profile: A PhD in AI, preferably at the interface of information retrieval and machine learning
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of the interaction between memory and language? In this two-year postdoctoral position, you will join the ERC-funded project Memory access in language (MEMLANG): How we store and retrieve linguistic information, led
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Memory access in language (MEMLANG): How we store and retrieve linguistic information, led by Jakub Dotlacil, at the Institute for Language Sciences (ILS), Utrecht University. Together
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Are you fascinated by a future where generative AI models fully comply with the specifications and the requirements of the systems that use them? We are excited to offer a postdoc position, which is
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PhD? Are you eager to enrich knowledge on biodiversity as a postdoc? Then Naturalis in Leiden is the place for you. Pursuing a postdoc at Naturalis means working on research with a truly global impact
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Have you completed your PhD? Are you eager to enrich knowledge on biodiversity as a postdoc? Then Naturalis in Leiden is the place for you. Pursuing a postdoc at Naturalis means working on research
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Challenge: Tackle data fragmentation, gaps and poor interoperability Change: Foster implementation of Positive Energy Districts Impact: Easier deployment of energy flexibility measures Job
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the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Sensing enabled by