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Design and conduct analyses linking vocal biomarkers to validated psychological scales (e.g., PAID, PHQ-9, GAD-7). Apply natural language processing (NLP) and AI techniques to large-scale audio datasets
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: Programming in Python and/or R Data science (e.g., tidyverse, pandas) Machine learning (e.g., scikit-learn) Deep learning (e.g., PyTorch, Keras3) (Optional) bio-signal processing and brain imaging (e.g., EEG
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be expected to teach advanced courses in Artificial Intelligence—particularly in machine learning, statistical learning, natural language processing (NLP), symbolic AI, computer vision, and related
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implement innovative solutions to enable seamless operation in connected and autonomous mobility use cases. - Validate research outcomes through a combination of high-fidelity simulations and
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the list of publications Cover letter Copies of previous degrees Names and contact details of two academic referees Early application is highly encouraged, as the applications will be processed upon
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the clinic and in silico. We focus on neurodegenerative processes and are especially interested in Alzheimer's and Parkinson's disease and their contributing factors. The LCSB recruits talented scientists from
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highly encouraged, as the applications will be processed upon reception. Please apply ONLINE formally through the HR system. Applications by Email will not be considered. All qualified individuals
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to develop a research line related to the assessment of these processes in daily life (e.g., daily diary studies, ecological momentary assessment) and the combination of self-report and sensor-measured data
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at least 2 references (contact details only) Cover letter Early application is highly encouraged, as the applications will be processed upon reception. To ensure full consideration, please apply by July 15th
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simulations under astrophysically relevant conditions will provide key insights into asymmetric photochemistry and post-irradiation alteration processes. Key references: i ) Ionizing radiation exposure