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I-2503 – PHD IN EXPLAINABLE AI FOR DATA-DRIVEN PHYSIOLOGICAL AND BEHAVIORAL MODELLING OF CAR DRIVERS
); · Demonstrated experience with common advanced signal processing techniques (e.g. denoising autoencoders, robust PCA, wavelet transforms). · Experience in methods to disentangle and integrate data sources
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Observation, and Autonomous Transportation. As far as technical enablers are concerned, we leverage expertise on advanced technologies including semantic/task-oriented data processing, signal processing
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Applications should include: Curriculum Vitae with at least 2 references (contact details only) Cover letter Early application is highly encouraged, as the applications will be processed upon
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healthcare institutions (hospital in Luxembourg and Belgium) to reduce the emission of medicine residues. The treatment solutions with a focus on a combination of an Advanced-Oxidation process together with a
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comprehensive suite of software tools for developing and deploying online studies as well as collecting and processing the resulting datasets. These tools include video games, a modular online survey platform, a
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We are seeking a highly motivated PhD candidate with a strong interest or background in AI as well as in one or more of the following areas: Generative AI, Natural Language Processing, Deep learning
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Applications should include: Curriculum Vitae Cover letter Early application is highly encouraged, as the applications will be processed upon reception. To ensure full consideration, please apply by
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well as personality and identity development in later life. The candidate will be encouraged to develop a research line related to the assessment of these processes in daily life (e.g., daily diary studies, ecological
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projects (indicated by P1,…,P5 here https://ogy.de/0bdy ) of interest (in order of preference). Early application is highly encouraged, as the applications will be processed upon reception. To ensure full
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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: · Co-simulation energy markets operation and power grids