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recently completed a pilot study investigating the use of atmospheric pressure ionisation mass spectrometry coupled with machine learning for differentiating between brain tumours and normal tissue
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, computer science or mathematics (or a related field), with a focus on computer vision, image processing, or machine learning Solid mathematical and physics background, distinct analytical skills Very good
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Experience with Python and machine learning libraries (PyTorch, TensorFlow, scikit-learn). Understanding of deep learning, CNNs, Capsule Networks, and image processing fundamentals. Basic knowledge of handling
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A Doctoral degree with an emphasis in higher education, instructional design, human relations, or related field is required. Computer Skills Proficiency with MS office suite required. Adept user
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on computer vision, image processing, or machine learning Solid mathematical and physics background, distinct analytical skills Very good programming (Python, C++) and computer (Linux, Windows) skills
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learning tools. Report on clinical applicability and write manuscripts for peer-reviewed journals. Collaborate with computer and mechanical engineering graduate students and researchers. Identify gaps in
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. Qualifications Minimum: Master’s degree in engineering or a related discipline (e.g., Mechanical, Electrical, Computer, Energy, Materials, Mechatronics). Preferred: PhD’s degree in a relevant field. Prior
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, computer science, or mathematics (or a related field), with a focus on robot vision and control, image processing, or machine learning Solid mathematical and physics background, distinct analytical skills
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excellent organizational skills. Background check required. Position contingent on funding. Working Conditions Office, Library, Computer Room; Requires extensive safety training Physical Effort Typically
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such as Wildfires. Platforms include Satellite, Aircraft, Drones, Mobile Devices using Optical, LiDAR, Navigation sensors. Highly automated Machine Learning and Geo-AI workflows underpin an intuitive Common