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learning, and Earth sciences. We are seeking a highly motivated Postdoctoral Research Fellow to develop and apply innovative, data-driven models for seismology, with a focus on developing cutting-edge
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the UCD School of Mathematics and Statistics. The successful candidate will lead research focused on developing a scalable, AI-driven quality control (QC) system for synoptic and climate observation data
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(python, Java) are important parts of this PhD track. The candidate starts from insights in the system and physics-based modelling. Data-driven approaches are not the focus of this project. The candidate is
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Join us! Are you a curiosity-driven scientist with a background in physics, engineering, or a related discipline, who wants to lead work at the intersection of robotics and metamaterials? Join us
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invited to set up experiments to explore potential environmental conditions, test water mixing models, and constrain the influence of biology on mineral alteration. Studies focusing on clay minerals
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learning (QML), robotics, and/or AI-driven discovery in science and engineering (e.g., genomics, bioinformatics, drug discovery, infectious disease modeling, materials, and biomanufacturing). Candidates
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developing data-driven local program plans with goals and strategies that achieve program growth, audience retention, access, and equity. Collaborate with the state 4-H STEM & Agriscience team to lead and
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Software Engineer to design and build the AI-agent platform for the programme. You will connect AI models, scientific tools, biological datasets, experimental-design methods, compute infrastructure, laboratory
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Scientist to support innovative research focused on advancing sustainable and efficient energy systems. This position will conduct interdisciplinary research in energy systems engineering modeling, leveraging
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Lunenfeld-Tanenbaum Research Institute | Central Toronto Roselawn, Ontario | Canada | about 16 hours ago
genomics and spatial transcriptomics); advanced live-cell or super-resolution imaging; computational modeling of developmental trajectories; and the engineering of advanced in vitro models (such as stem