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, scale and resolution in which in vivo pathways of immune cells can be unraveled. Furthermore, it provides a goldmine for training causal machine learning models to move towards precision medicine
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are looking for a highly motivated and skilled PhD researcher to work on structural surrogates of offshore wind foundations through graph-based machine learning. Our goal is to perform full-structure
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The research group Mechanics of Materials and Structures at Ghent University (UGent-MMS) has 4 vacancies for PhD and postdoc research in the field of fibre-reinforced composites. The vacancies
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the preparation of a doctorate, contains: Description: Within the context of the Belgian funded FWO project “Integrated photonic Ising machines” there is currently an open position at the Vrije Universiteit Brussel
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are looking for a highly motivated and skilled PhD researcher to work on graph-based machine learning surrogates of wind energy systems. Our goal is to accelerate flexible fatigue load estimation
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biomedicine and digital pathology Embedding within a computational team, with extensive experience in computational biology and machine learning. Embedding within an experimental team, with direct availability
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implementing signal processing algorithms specifically tailored to analyze signals that contain interfering impulsive content, often encountered in data coming from main and pitch bearings. Machine learning
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knowledge of wireless communications, and signal processing. You have at least intermediary knowledge of machine learning algorithms, including federated learning, split learning, and graph neural networks
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Institute) Besides the project leaders, the Dynamigs team includes several senior and postdoc researchers. As a part of this project, you will conduct quantitative research on demographic behaviour
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these fields is not required, what we are looking for is a strong motivation to learn, adapt, and apply these technologies to advance microbiome research. Profile We are looking for a driven and creative PhD