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in modern aging and memory research. A record of excellence in translating research findings into clinical practice is desired. A track record of mentorship of junior faculty and young investigators
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their applications. Using machine learning and related tools to enhance quantum memory advantages in stochastic simulation. Using advanced tensor network techniques to enhance the modelling of complex, memoryful open
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The Leibniz Institute for Neurobiology (LIN) is an internationally recognized neuroscientific research institute and dedicated to the research on learning and memory. Our research comprises all
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application! We are looking for a highly talented and motivated Ph.D. candidate to join our research team in the cutting-edge area of AI security, on the topic of “Memory Poisoning in LLM Agents: Foundations
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Published Wednesday 19 Nov 2025 Deadline Monday 15 Dec 2025 Work area Research, development, innovation Organisational unit Erasmus School of Social and Behavioural Sciences (ESSB) Salary € 3.059
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an interdisciplinary approach to address this problem using dietary interventions on animal models of cognition. During this project you will learn techniques from a range of disciplines including: animal behavioural
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evolutionary basis of human cognition—including language, working memory, theory-of-mind, and the specialized brain networks supporting these processes. One candidate will focus on the genetics side
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neuroscienceanalyses to MRI data from multiple species , the project aims to study the evolutionary basis of human cognition —including language, working memory, theory-of-mind , and the specialized brain networks
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on-device accelerometers which may provide data on patient posture and behaviour. A first aim will be to establish the best possible sleep classification performance based on these data, but to enable sleep
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The Leibniz Institute for Neurobiology (LIN) is an internationally recognized neuroscientific research institute and dedicated to the research on learning and memory. Our research comprises all