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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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: 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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knowledge of the synthesis and characterization of materials. Signal processing skills are appreciated, but not mandatory. Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR8520-YANCOF-019
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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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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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a powerful model for uncovering muscle-specific protective processes. Yet, significant gaps in our knowledge have hampered advancement in this field including the lack of molecular markers and
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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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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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to gain a more quantitative understanding of these processes. The final phase will focus on modelling chiral effects on electron transfer. A model approach describing chirality-induced effects on electron
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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