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library. Strong interest in machine learning, reinforcement learning, and fluid dynamics. Ability to work independently and collaboratively in an interdisciplinary team. Excellent command of English, both
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qualifications include a Master's degree in computational biology or a related field. Prior experience with programming, statistics and biomedical research is essential, while experience with machine learning is
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to support a circular bioeconomy. We are seeking a highly motivated postdoctoral researcher to develop and apply machine‑learning and data‑science methods, with a focus on computer vision, to enhance wood
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of Zurich and Wageningen University & Research. The four-year STEPS project focusses on developing data-driven and machine learning methods to monitor CO2 and NOx emissions using the upcoming satellite
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the use of hierarchical graph neural networks for modeling multi-scale urban energy systems. By combining advances in Physics-Informed Machine Learning (PIML) and Graph Neural Networks (GNNs) with real
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statistical evaluation Machine learning analyses: implementation of established and new workflows Coordination of activities with Consortium partners, including presentation of results at consortium meetings
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industrial partner, you will design and implement innovative architectures for real-time detection and control of laser processes. This interdisciplinary role combines artificial intelligence and machine
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offer a two-year post-doc position at Empa to conduct cutting-edge research in sustainable polymer synthesis and the possibility to acquire additional funding. You get access to top-analytical laboatories
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of catalytic coatings for water treatment. As a PhD candidate, you will: Develop novel and robust catalytic materials for efficient removal of emerging contaminants in water. Learn and apply advanced materials
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programming will be considered and advantage. We are looking for a highly motivated team player that is curious to learn new things, is self-motivated, and has excellent English communication and writing skills