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Max Planck Institute of Animal Behavior, Radolfzell / Konstanz | Konstanz, Baden W rttemberg | Germany | about 1 month 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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of genetic networks Interplay between chromatin architecture and gene regulation Candidates will use a combination of skills in molecular and developmental biology, instrumentation and data analysis to answer
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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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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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Paulo state, Brazil, to work on the FAPESP Thematic Project entitled “Integrated Development of Biorefinery and Sugarcane Bioethanol Plant with Net-Zero CO2 Emissions: Pathways to Convert Renewable
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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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(Stockholm, Sweden) and the candidate will benefit from a strong (inter-)national network of collaborators in protease biology and computational proteomics. The successful candidate for this position will join
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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