10 postdoctoral-soil-structure-interaction-fem-dynamics Postdoctoral positions in Italy
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and data structures for AI kernels; Scalable systems for machine learning (training, inference, edge); HW-SW co-design for computer vision on novel architectures; Desired skills Advanced knowledge in
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III, for activities in the field of Ecosystem Dynamics and Computational Oceanography. Proven ability, supported by objective evidence, is required in independently achieving significant advancements in
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Nanomaterials that detect protein-structural changes Nano-optical devices for protein-signal sensing AI algorithms for protein structure and dynamics prediction Outstanding Postdoctoral Training Strategy
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Lightweight and flexible solar cells Space deployable structures Device analysis in space environments Big data, AI, and machine learning for space solar initiatives Recruitment Attract top-tier postdoctoral
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Institute for Basic Science (IBS), South Korea The Center for RNA Research at the Institute for Basic Science (IBS) invites applications for postdoctoral positions in RNA biology. Our center
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Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The PLA-STEER project launches an opportunity for a postdoctoral
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The Nanotechnology Centre and the Centre of Energy and Environmental Technologies at VŠB–Technical University of Ostrava are seeking a highly motivated, ambitious, and collaborative postdoctoral
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that allow efficient and fast access to data subsets, and on developing improved and interactive MS data visualizations. In addition, the candidate will be involved in project-specific training and outreach
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of Transnational Governance. Applicants must be within 5 years of the award of their PhD. Preference is given to those who have recently completed a doctorate, not had a postdoctoral position before and/or
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-scale text and structured biomedical data; - Strong quantitative and analytical skills applied to observational or clinical datasets, and familiarity with techniques for representation learning and