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currently seeking candidates for research assistant. The appointed candidates will support the planning and execution of research projects alongside postdoc associate, PhD students, and RAs within
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ability to work collaboratively in a multidisciplinary research environment. Preferred Skills: Experience in graph-based learning, attention mechanisms, and transformer architectures applied to chemical
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development, repair, and disease, with particular attention to controlling tissue architecture and epithelial composition. Candidates should have demonstrated expertise in 3D bioprinting, mammalian cell culture
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explore enabling technologies for 6G and beyond wireless networks. Applicants must hold a PhD degree in electrical/electronics engineering, telecommunications or related field. Other requirements include
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, at a panel at the Medieval Congress in Leeds in July 2026 and in other dissemination activities. Qualifications Applicants must have a PhD degree or must document equivalent qualifications in a relevant
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to have the following skills and experience: Essential criteria PhD in Neuroscience or near to completion* At least one first-author publication in a scientific journal Extensive experience working with
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architecture, Design experiments, collect data, and validate ideas in collaboration with the broader engineering team. Profile and requirements The candidate will participate in research and development
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Stanford’s Department of Computer Science and the Data Science team at Stanford Health Care. Our research spans both core methodological advancements (e.g., developing novel ML architectures and evaluation
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plant architecture optimization, but new areas, particularly in molecular biology, immunology, and genomics, are welcome. For more information, see: navlakhalab.net. Position Requirements PhD in
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qualities You hold either PhD in deep learning techniques and an interest in climate science, or a PhD in Meteorology or Climate Science having clear experience with deep learning techniques. You possess