1,627 computational-physics "https:" "https:" "https:" "https:" "IFM" positions at Nature Careers
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experience using and developing measurements and models to develop process-based understanding of greenhouse gas emissions like methane at field scales, and linking these to key environmental drivers
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the future. The Institute brings together researchers in life and physical sciences, and engineering, to develop a spectrum of tools which we will use to image, interpret and intervene in biological systems
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Software Engineer - Image Quantification and Artificial Intelligence (IQAI), Department of Radiology
Job Description The Image Quantification and Artificial Intelligence (IQAI) Collaboratory is the technical engine of the Intelligent Imaging Informatics (I3) Section within the Department
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various disciplines: computer scientists, mathematicians, biologists, chemists, engineers, physicists and clinicians from more than 50 countries currently work at the LCSB. We excel because we are truly
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decisionmaking modules that must operate under strict constraints on latency, compute, energy, and reliability. In many robotic platforms (mobile robots, drones, autonomous vehicles, ...), inference must execute
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, plant transformation, plant breeding, computer vision assisted automated phenotyping, machine learning and AI. The role will require working with other institutional stakeholders to scope, design, equip
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social and environmental determinants, including socioeconomic vulnerability and exposure to physical and chemical environmental hazards, influence the health outcomes of childhood cancer survivors across
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Radiology, Nuclear Medicine, Intelligent Imaging Informatics (I3), Research, and Physics. The Neuroradiology section focuses primarily on pediatric neuro-oncologic imaging and also serves cancer survivor
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Program or another American National Standards Institute (ANSI) accredited Food Handler Training Certificate Program is required within thirty (30) days of hire. Employee must maintain current certification
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. It is dedicated to high-level research on new theories and technologies in electron microscopy and diffraction physics, with a particular focus on quantitative electron microscopy and its applications