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multi-tasking skills, and be team-oriented, proactive and result driven. The positions can start immediately, and positions will be filled as soon as suitable candidates are found. Interested candidates
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This is a four-year (1+3 MRes/PhD) studentship funded through the Cambridge EPSRC Centre for Doctoral Training in Future Infrastructure and Built Environment: Unlocking Net Zero (FIBE3 CDT). Further
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modelling, data assimilation, and multi-scale neural network architectures applied to spatio-temporal data. The development of these methods is motivated by a concrete and important application: inferring gas
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University School of Medicine along with the Duke University School of Nursing, Duke University Health System and the Private Diagnostic Clinic (PDC) comprise Duke Health. a world-class academic medical center
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communication—it is also a powerful tool for enabling private computations. Secure Multi-Party Computation (MPC) is an exciting field that bridges privacy and data utility, allowing multiple parties with private
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, you will tackle the fundamental challenge of controlling selectivity in multi-step biomass conversions through smart multi-catalyst, multi-reactor design. You will contribute to the Sustainable Process
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. By integrating artificial intelligence (AI), multi-sensor fusion, and cognitive systems, the research will pioneer robust navigation architectures. These improvements are key to making future transport
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Ecology at the Senckenberg Biodiversity and Climate Research Centre (SBiK-F) as soon as possible: PhD (m/f/d) Transcriptional Regulation of Odorant Perception (65%) Location: Frankfurt Employment scope
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: The Center for Spatial Information Science and Systems (CSISS) is an interdisciplinary research center affiliated with the College of Science at George Mason University. The mission of the Center is to conduct
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About us VIB.AI, the VIB Center for AI & Computational Biology, is a research center dedicated to integrating machine learning with deep biological insight to understand complex biological systems