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laude level. You are interested in both Machine Learning and Symbolic/Logic-based AI methods. You strive for excellence and have a scientific mindset. You are a loyal team player, who can work
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network analysis.•experience with historical and/or theological research.•willingness to engage with interdisciplinary approaches and theoretical frameworks.•work independently, possess organisational
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include regulations, compilations of local legislation and commentaries thereon, as well as rulings by municipal courts. You will conduct research in archives. Based on an analysis of source material
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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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impedance analysis; optical and thermal measurement principles are also being considered. The results obtained with the sensor are compared with the results of analytical reference techniques such as
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neurodevelopmental conditions, by bridging disciplines, from artificial intelligence, microelectronics, neuroengineering and nanoscience, to single-cell, imaging and molecular analysis, functional genomics and cell
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Identities, Machine Learning/AI, and IoT/5G on organisations from both the private and public sectors. The group consists of doctoral and post-doctoral researchers from diverse backgrounds united in pursuit
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environment Bonus but not required Experience in single-cell and spatial omics data analysis Experience with highly multiplexed flow cytometry Background in immunology The opportunity to work on high-impact
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and Computer Engineering with specialization in Information Systems, which will allow a broad spectrum of interdisciplinary research. In particular, the successful candidate will be part of the E
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