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coursework in the first year and for the remaining, up to five years, work on research projects that will make up the final thesis. The first year of the Ph.D. programme corresponds to the Master in
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to contribute to other activities and tasks within the ENER-G project. The main outcome(s) of the PhD will be novel optimisation models and solution algorithms that will substantially advance the state-of-the-art
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. The candidate shall master LCA and have a sound knowledge of the main databases and data formats, open-source software solutions and life cycle impact assessment methods. You will be mainly in charge of
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methods the reliability and robustness of the hallucination detection system under diverse visual and textual conditions Primary experiments will be conducted in CARLA (https://carla.org ), enabling
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. An assessment committee will thoroughly evaluate applications, adhering to guidelines designed to ensure equal opportunities. The primary criteria for selection will be the alignment of the applicant's existing
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until the position is filled. An assessment committee will thoroughly evaluate applications, adhering to guidelines designed to ensure equal opportunities. The primary criteria for selection will be
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of computer science, artificial intelligence, and biomedical research. Your profile Master's degree in computer science or related discipline Experience with Python and recent deep learning frameworks (e.g. Pytorch
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. The primary criteria for selection will be the alignment of the applicant's existing skills and expertise with the requirements mentioned above.