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Field
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main supervisor, including writing a project proposal and qualifying activities Contribute to your main supervisor’s current research Design, collect data, and contribute to analyses of a smaller pilot
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communication skills and willingness to work in a cross-disciplinary, collaborative environment. Desirable criteria Experience with machine learning or pattern recognition methods. Familiarity with wavefront
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Are you intrigued by how you can shape the energy transition by scale up of green electricity based large-scale energy storage via CO2 capture and dynamic conversion with hydrogen from electrolysis
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, targets the conversion of intermittent electricity to platform chemicals and fuels making use of dynamically operated processes. This is a promising route to alleviate net congestion and make more effective
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requirements You hold an MSc degree in Electrical Engineering (must-have). You have a strong interest and demonstarted interest in analog integrated circuit design Hands-on experience in circuit design, gained
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PhD Candidate to conduct research on Artificial Intelligence for managing Shipbuilding Supply Chains
in complex engineer-to-order shipbuilding. Realizing the full potential of AI is both a technical and an integrative challenge. It requires combining what AI excels at, such as pattern recognition and
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learning and computer systems. The successful candidate will join an international and collaborative research environment and contribute to advancing efficient AI systems. Are you motivated to take a step
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for Multiscale Offshore Structures), which develops integrated AI methods for the analysis, design, monitoring, and control of floating offshore systems. Multi-modular floating structures are emerging as a
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excellent study records in Electrical Engineering, Electronics, Microelectronics, Computer Engineering, or a closely related field, completed by the start of the position Have a solid background in digital
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focuses on the development of secure and trustworthy AI for resource-constrained embedded systems. The research will investigate how machine learning models can be designed and deployed efficiently