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Max Planck Institute of Animal Behavior, Radolfzell / Konstanz | Konstanz, Baden W rttemberg | Germany | about 2 months ago
, and environmental structure, with a particular focus on ring attractor networks—a conserved neural architecture implicated in navigation and spatial representation across diverse taxa. These circuits
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the networks of the future. As a newly established center, it represents a timely initiative that aligns closely with the UAE’s vision to lead in the digital era. Through close collaboration with industry and
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innovation hub dedicated to advancing the frontiers of wireless communications and shaping the networks of the future. As a newly established center, it represents a timely initiative that aligns closely with
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and causal inference (including virtual lab experiments); and/or (4) network or computational modeling. The ideal candidate will have a strong interest in applying these tools to questions of group
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the impacts of rapid and longer term spatial agricultural shifts, due to international trade networks, on biodiversity, considering losses and gains and how this can be used to allow more direct comparison of
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of NYUAD Wireless is to establish a globally recognized research and innovation hub dedicated to advancing the frontiers of wireless communications and shaping the networks of the future. As a newly
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, and tuberculosis. Functional/ mechanistic validation of regulatory elements and gene networks controlling inflammation, immune memory, and tissue repair will be implemented using CRISPR inhibition and
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We offer: A varied and challenging role within a high-profile network spanning politics, science, business, and society Work in national and international networks with universities, research
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of Competition and Kinetics to Materials Mechanism and Reaction Network Prediction." In particular, the individual will play a crucial part in project leadership and decision-making as well as mentorship of two
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force fields (MLFFs) that combine state-of-the-art equivariant neural network architectures with robust, well-calibrated uncertainty estimates. These models will enable fully automated active learning in