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in learning it is a requirement. Experience in chemical carbohydrate synthesis and/or recombinant protein expression are considered advantageous. Excellent communication skills in English (written and
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models, and reinforcement learning (RL), which is data-driven, are two powerful control techniques. MPC techniques are well-established, while RL techniques are gaining popularity due to increasingly
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position focused on understanding and mitigating the environmental and health impacts of depolymerization of plastic waste, and production of new state-of-the-art bioplastics. This research sits
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the fabrication of robust artificial quantum superlattices that have never before been realized. Joining our dynamic, international research community, you will gain unique, high-demand competencies in quantum
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field where your creativity and technical skills can help shape safer and smarter oceans. As a PhD candidate, you will have the unique chance to contribute to groundbreaking research that merges
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experimental and simulation data. Use machine learning techniques to identify trends, forecast behavior, and optimize performance metrics in PtX systems. Publish Research Findings: Disseminate research outcomes
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multidisciplinary research in energy markets, optimization, game theory, and machine learning. Our team of 13 members (link ), from 10 different nationalities, values diversity and includes experts from a range of
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decision-making. Collaborate with international partners and contribute to joint research activities. Teach and co-supervise students at different levels in courses and associated projects. Publish and
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Job Description Are you passionate about sustainable innovation, food safety, and creating real-world impact through cutting-edge materials science? Do you want to help design the future of food
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and machine learning, you will help develop new methods for understanding complex failure mechanisms—an area where existing industrial knowledge remains limited. The project will be executed in three