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processing, and user-friendly GUI-based analyses for clinical and physiological research. You will combine Python-based software development, biomedical signal processing, and FAIR data design, and contribute
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prestigious ERC Consolidator Grant in a great interdisciplinary institute in Amsterdam. Join us! Are you passionate about machine learning, natural language processing and generative AI? We are seeking a
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Computer Science, Software Engineering, or Artificial Intelligence. You have strong programming skills and experience in developing AI solutions and real-time simulation platforms. You have strong written and spoken communication
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point density and revisit frequency. Support the installation and operation of at least two new IGRS stations. Implement and evaluate the TU Delft IS-InSAR anomaly detection method to identify points
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responses are converted into biochemical signals. This research might include the identification and characterization of signaling proteins, investigating the effects of genetically modifying these proteins
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. You will then develop a procedure to translate these quantified relationships to a predictive agent based model for the investigation of animal movement behaviour under future climate scenarios. We also
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manipulation, tactile sensing or haptic systems Proficiency in programming (Python, C++, MATLAB, or similar) Experience with robotic platforms and hardware Knowledge of machine learning and signal processing
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Circuits Project description: Neuronal synapses are remarkably heterogeneous and dynamic structures that vary widely in molecular composition, nanostructure, and signaling strength. This rich variety
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point). They will also contribute to educational programmes in the Philosophy and Ethics group (max. 0,1 – 0,2 FTE), which is part of the Department of Industrial Engineering and Innovation Sciences at TU
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to observe and understand how societies evolve over time. One focal point of the Macroscope is language, specifically the research infrastructure needed for the annotation and analysis of textual data