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training algorithms and AI architecture Image reconstruction, segmentation, and classification High performance computing for spatiotemporal data Major Duties/Responsibilities: Develop foundation AI models
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a Research Engineer to help us develop the next generation of autonomous systems and algorithms for Earth and space applications. Our group doesn't just develop new theories, but puts them to the test
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system with integrated sensors. You should hold or be near completion of a PhD/DPhil with relevant experience in the field of robotics, biomedical engineering, information engineering, electrical
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people over Technical understanding and affinity for operating complex systems, ideally in the fields of robotics, sensor technology, or maritime technologies Flexibility and ability for spontaneous
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-aided design (CAD) and 3D models (Revit, SolidWorks) for prototype housing units Assist with computational fluid dynamics (CFD) simulations and wave-tank testing in CITEL Support sensor calibration, data
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electronic equipment including sensors, terminal equipment controllers, control panels, input/output panels, ultrasonic flow meters, steam meters, and relay panels by interpreting control diagrams
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. Uses appropriate algorithms, logic, and data structures to solve problems and promote code reusability 4. Writes well organized, documented, and readable code 5. Uses appropriate revision control
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you will do Driving innovative AI research through the development and implementation, practical application, theoretical analysis and evaluation of AI algorithms Use of XAI tools to explain machine
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states, and hidden actions; New methodological and algorithmic developments for Continuous-time RL. Missing Data Problems: Novel imputation and inference techniques in various missing data problems
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uses, improving the AI and MRI algorithms, and linking them with information from biological studies on tumour tissue. This project harnesses AI to improve diagnosis and clinical decision-making leading