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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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of PhD students in the project Profile We are seeking highly motivated candidates with strong achievements and a proven track record. Applicants must have: A PhD in physics, chemistry, materials science
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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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PhD in physics, biomedical engineering, mechanical engineering, or related discipline Solid background in the physics of microbubbles, ultrasound, or acoustics Experience with Verasonics ultrasound
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. Supervise Bachelor’s and Master’s theses within the scope of the project. Contribute to the preparation of research proposals and technical reports. Your profile PhD in civil/structural engineering (or
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. You will perform microstructural characterization of dry coated electrodes using physical and machine learning based methods and the electrochemical assessment of the electrodes in battery cells. Your
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hematopoiesis and tissue engineering, while cooperating with a PhD student working on the same program. The project aims at engineering organotypic 3D human bone marrow tissues and apply them as grafts in vivo
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, particularly on measurements and searches using jet substructure and development of advanced techniques in particle tagging, including applications using machine learning, and are expected to take leading roles
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. Supervise Bachelor’s and Master’s theses within the scope of the project. Contribute to the preparation of research proposals and technical reports. Your profile PhD in civil/structural engineering (or
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. The researcher will be supervised by Prof. Colette Heald. Profile Applicants should hold an PhD degree in atmospheric science, earth science, environmental science, chemistry, physics, or a related discipline