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, neuroengineering and nanoscience, to single-cell, imaging and molecular analysis, functional genomics and cell biology in human and animal models. Doing a PhD at our Center Embedded within both VIB and KU Leuven, we
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related disciplines Quantitative imaging, data analysis, or computer vision Numerical modeling of biological systems or continuum mechanics Machine learning/AI, particularly explainable AI (XAI) Hands
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gangen du var inne på nettsiden. Cookien slettes automatisk etter tidens utløp. Nedenfor kan du kan se en komplett liste over cookies. Slik avviser eller sletter du cookies Du kan til enhver tid avvis
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at ZHAW over a period of 36 months. We are seeking a highly motivated PhD candidate to join our research team working on mathematical modelling of electrochemical processes in flow batteries. This project
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will include versatile, fast-moving tool-carrier robots, drones for aerial view and selected aerial manipulation, and specialized, slow-moving prototype robots. (PhD#2) Robotic Implements. Study and
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to the grid/market. In this regard, this PhD focuses on optimizing the use of flexibility in electrified process plants by leveraging dynamic behaviors and market participation. With the above premises, the
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sciences Researcher Profile First Stage Researcher (R1) Positions PhD Positions Country Portugal Application Deadline 9 Dec 2025 - 23:59 (Europe/Lisbon) Type of Contract Other Type of Contract Extra
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Description The Institute for X-ray Physics of the University of Göttingen welcomes applications for a PhD Position (f, m, d) starting as soon as possible. The salary is based on TV-L E13 (75
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DTU Tenure Track Researcher in Low-Noise Supercontinuum Lasers and Supercontinuum Laser based Opt...
(OCT) imaging, then we have the ideal opportunity for you. Come and be a part of the “Table-Top Synchrotron” project and one of the world’s strongest groups in this field in our quest to develop
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reference architecture for data visiting. This paradigm enables algorithms to securely access and process data within the environments where it resides, supporting federated learning for training machine