1,327 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "Université de Bordeaux " positions at Nature Careers
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the organization. Your profile Bachelor's or master's degree in computer science, computer engineering, cybersecurity or a related field and relevant security certifications (e.g., OSCP, CCSP, CISSP, CISM) from a
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Foundation, explores how pathogenic bacteria survive and cause infection. Working at the interface of genetics, chemical biology and machine learning, the team develops small molecules to disrupt key bacterial
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this but have hitherto struggled with tackling such challenging systems. With the emergence of machine learning methods in the physical sciences, things are rapidly changing. This project is part of a
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Vineyard’s second area of focus (above) and will be central to the Department’s strategic focus on harnessing data science, machine learning, and AI to transform cancer research. The Division Chief will lead
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healthcare data. * A team player who thrives as a member of a highly functional cross-disciplinary team Preferred Elements * B.S, M.S., and/or PhD in Computer Science, Biomedical Informatics, Machine Learning
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technologies (fiber-optic sensors, DIC), and computer science (machine learning tools) in collaboration with de department of Physics. The aim of the BriCE project is to develop a novel bridge monitoring
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with Artificial Intelligence and deep learning concepts for robotics computer vision, tactile sensing, reinforcement learning Experience with robotic simulation tools e.g., ROS, Gazebo, Mujoco, IsaacSim
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Software Engineer - Image Quantification and Artificial Intelligence (IQAI), Department of Radiology
space where you define the technical roadmap for computer vision and medical imaging breakthroughs. We are looking for a software engineer who is dissatisfied with the status quo and possesses
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service, or similar circumstances, as well as clinical practice or other forms of appointment / assignment relevant to the subject area. Project 1: Growth dynamics of the world’s longest-lived algae
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quality of care in hospitalized or critically ill patients. Using physiologic monitoring devices and digitized patient data, we implement statistical and machine learning decision support tools to detect