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/Online. A project at the Composites Lab is characterized by the amalgamation of experimental and computational/modeling mechanics and encompasses people with very different backgrounds to ensure we capture
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and Biomedicine, Technical University of Denmark. You will work on regulatory mechanisms of cell signalling downstream of Receptor Tyrosine Kinases using mammalian cells grown in 3D cell cultures and
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. Performs other duties as assigned. Required Qualifications: Ph.D. degree in Agricultural/Biosystems/Mechanical/Electrical Engineering or closely related fields with expertise in robotics, computer vision
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stronger. We seek employees who bring different and innovative ways of seeing the world and solving problems. A Post-Doctoral Research Fellow training position is available to study the molecular mechanisms
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the biogeochemical mechanisms that underpin the resilience of restored wetlands, integrating field observations, laboratory experiments, and modelling approaches. You will explore how nutrient dynamics, hydrological
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: Background in Data Science, Computer Science or related fields; Working experience in implementing AI models (not just loading pre-trained model). PyTorch framework is preferred; Experience with APIs
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the biogeochemical mechanisms that underpin the resilience of restored wetlands, integrating field observations, laboratory experiments, and modelling approaches. You will explore how nutrient dynamics, hydrological
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) Sydney, in partnership with ANSTO (Australia), Imperial College London (UK), and Tokamak Energy (UK), is launching a groundbreaking research program focused on developing new materials for compact tokamak
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extension. Your Tasks Our overarching goal is to understand the neural mechanisms of cognitive functions, focusing on learning, attention and decision making. We investigate the contribution of subcortical
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Sign In Create Profile Postdoctoral Research Associate-Computer and Information Research Tucson, AZ, United States | req23101 Apply Now Share Save Job Posted on: 6/11/2025 Back to Search