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background in aquatic ecology and biomonitoring, or related fields, with experience in image acquisition, large dataset processing, and statistical analysis. A passion for interdisciplinary research
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computational models and data analysis code to process large, multimodal behavioral datasets using both traditional methods (e.g., factor analysis) as well as more modern approaches (e.g., deep learning
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I-2503 – PHD IN EXPLAINABLE AI FOR DATA-DRIVEN PHYSIOLOGICAL AND BEHAVIORAL MODELLING OF CAR DRIVERS
(e.g., InfoGAN, β-TCVAE, TopDis / Topological Disentanglement, Independent Component Analysis (ICA), Variational Autoencoders (VAEs), and matrix factorization techniques); · Experience with
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datasets such as the Luxembourg Parkinson’s Study and different prodromal cohorts for neurodegenerative diseases are ready for analysis. The doctoral researcher will: Conduct research that will compose a PhD
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on multiscale analysis of brain disorders with a focus on Parkinson’s and Alzheimer’s disease, and epilepsy by combining experimental and computational approaches. For a collaborative project within the Institute
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innovative and creative research in theoretical quantum physics, including mathematical modeling and phenomenological and numerical analysis. The PhD student should display scientific ambition and target
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within the project Data analysis and publications in peer-reviewed scientific journals and presenting at international scientific conferences. Contribute to and support (on-going and future) research
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for Digitalization. This project aims to advance privacy-preserving techniques for data analysis and task automation, ensuring robust protection of sensitive information. The focus will be on developing
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laboratory. Project:Integrative multi-omics analysis of IDH mutant gliomas to reveal novel targets for treatment. Mutations in isocitrate dehydrogenase 1 or 2 (IDH1/2) define glioma subtypes and are primary
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you want to know more about LIST? Check our website: https://www.list.lu/ How will you contribute? You will be mainly in charge of: · Develop novel AI-based operation and analysis tools