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ICT Services & Applications. Your role The SnT Automation & Robotics Research Group seeks to hire an excellent and motivated PhD candidate within the national research project PCS-GRAPHS (Integrating
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, for their analysis and optimization, we use tools such as artificial intelligence/machine learning, graph theory and graph-signal processing, and convex/non-convex optimization. Furthermore, our activities
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processing Graph signal processing Machine learning - supervised, unsupervised and reinforcement and tools such as TensorFlow, PyTorch, Keras and GreyCat Neuromorphic computing, spiking neural networks Deep
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estimation, and the detection and compensation of sensor drift and degradation. The candidate will develop data processing and modelling approaches combining signal processing, statistical analysis, and data
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young versus older adults using EEG. Analyses will focus on Event-Related Potentials, time-frequency analysis and functional connectivity measures within a cognitive-motor dual task paradigm. To enhance
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(e.g. interviews, focus groups, content and discourse analysis) and quantitative data (e.g. surveys, travel behavior datasets); write academic publications and research reports; present research findings
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mini-applications that embody key AI workloads by combining multiple underlying kernels and the key data communications between them. You guide and help analysis and optimization of the performance
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identification, reduce uncertainty, and enable cost-effective risk managementIntegrate advanced coupled modeling with soft computing techniquesUse metamodeling for global sensitivity analysis Apply probabilistic
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of liposomal formulations.•LC-MS-based lipid or metabolomics analysis.•Regular contact with supervisors and other members of the laboratory including presentation of data at lab meetings.•Supervision of bachelor
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on specific tasks within the ERC project, such as qualitative data collection, analysis, and integration of findings. You will actively participate in the collaborative and interdisciplinary environment