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Field
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combines HPC service provision and R&D into both computer and computational science (life, earth and engineering sciences) under one roof, and currently has over 1000 staff from 60 countries. Look at the BSC
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necessary lead relevant meetings. To undertake any other duties relevant to the programme of research. Job Requirements: PhD degree in Computer Engineering, Computer Science, Electronics Engineering or
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depth knowledge of a specialized field, process, or discipline and may involve organizing and implementing complex research plans, the development of methods of research, testing and data collection
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MACQUARIE UNIVERSITY - SYDNEY AUSTRALIA | North Ryde, New South Wales | Australia | about 22 hours ago
, and onboard computing platforms (e.g., Jetson, STM32). Proficient user of Python, C/C++, Linux tools and similar. Skills in control theory, estimation, perception pipelines, and multi-agent coordination
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results. High levels of personal integrity, transparency and capability. Experience in computer coding for data analysis and visualisation (e.g. R, Python) is desirable The successful candidate may be
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similar. Skills in control theory, estimation, perception pipelines, and multi-agent coordination. Experience with CAD tools (e.g., SolidWorks, Fusion 360) for component layout, mechanical integration
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insurance, supported by INESC TEC. 2. OBJECTIVES: - broaden knowledge of the state of the art in the specific scientific area of the scholarship; - identify and select the appropriate methods for the study in
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of the state of the art in machine learning for generation of artificial data; - identify and select the appropriate methods for the study in question; - develop the research capacity through the application
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, including machine learning, computer vision, adaptive data modelling, and computational imaging. The objective is to develop state-of-the-art machine learning algorithms for solving ill-posed inverse problems
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Area: Computer Science 2. Admission Requirements: Graduates (Licenciatura) in computer engineering or related area, with experience in Machine Learning/Deep Learning methods/techniques. 3. Project