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Materials Science Engineering, Electrical and Computer Engineering or Physics Required Experience: Growth and characterization of thin films; Micro- and nano-fabrication; Magneto-transport Desired Experience
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twin of sperm motility, and utilize it to develop a separation method. Your tasks will include: Performing computer simulations and matching them to experimental data Very close collaboration with
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: Skilled in using office software, technology, and relevant computer applications. Communication: Strong and clear written and verbal communication skills for interacting with colleagues and stakeholders
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artificial intelligence with a preferred focus on computer vision and medical image analysis. Preferred Qualifications: PhD in Medical Physics, Bioengineering, Biomedical Engineering, Physics, Computer Science
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not guaranteed). The fellows will have an office and access to various resources from DU. Each fellow will have a computer with word processing software, access to printers, e-mail, and law and
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and real-time data acquisition systems. Participate in testing and deployment of UAV demonstrators at UM6P and OCP sites. Methodology: AI Development: Reinforcement learning, computer vision, and sensor
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. Perform computer tasks related to scientific data processing, analysis, and interpretation, including statistical analyses; preparation of manuscripts for publication; and archiving of data and code
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PhD, MD/PhD, or equivalent degree in biomedical sciences (e.g., immunology, vascular biology, molecular biology, physiology). Computer Skills N/A Supervisory Responsibilities No Required operation of
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full-time, fixed-term position for a duration of two years. The role is based within the Department of Computer and Information Sciences at Northumbria University, located in Newcastle upon Tyne. About
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with a doctorate In-depth knowledge and experience in computer tomography and experimental imaging techniques, demonstrated by publications, scientific documentation, and active participation in