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of the University of Groningen, offering a unique opportunity to work at the interface of academic research and industrial innovation. This project offers an excellent opportunity to contribute to a sustainable and
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data to design robust, efficient deep learning algorithms that maximize the information extracted from images and delivered to the robot. To be successful in this role, we are looking for candidates
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Essentials PhD (completed or near completion) in Computer Science, Computer Vision, NLP, Machine Learning, Computer Graphics/Animation, HCI, or a related field. Strong background in deep generative
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research Behavioural competencies Education You must have completed and obtained your PhD before starting the Research Fellowship. Applications submitted by candidates within five years of receiving
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Management Education Research, development, innovation Academic staff PhD Procurement OK Cancel Share this page Published Thursday 5 Jun 2025 Deadline Wednesday 25 Jun 2025 Work area Academic staff
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-intensive and innovation-oriented industrial partners. As core expertise, the consortium specializes in developing new chemical building blocks that, when applied on industrial scale and with industry-leading
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://www.academictransfer.com/en/jobs/354427/postdoc-prospective-breast-canc… Requirements Specific Requirements You should be a creative and enthusiastic researcher with a PhD in epidemiology, biomedical sciences, technical
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complex problems using innovative methods. You enjoy working with a diverse and international team and actively contribute to the success of the project. Moreover you have: A PhD in life sciences
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profitability. Examples include optimizing production speeds to balance output, equipment deterioration, and energy consumption in manufacturing, or designing dynamic pricing and allocation policies in rental
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. Candidates should hold a PhD in human geography, urban and regional planning, urban studies, environmental planning and management, or a closely related field. Preference will be given to participants with