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SPINTEC fabrication facilities. As such, this thesis will be stationed mostly at SPINTEC in Grenoble, the PhD program being registered at Université Grenoble Alpes. You will also be part of the Vertical
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-intensive PhD training programme, supported by the PRIDE funding scheme of the Luxembourg National Research Fund (FNR) and the programme's partner institutions: University of Luxembourg, Luxembourg Institute
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Wikibase instance Curate and model historical migration datasets within the dedicated Wikibase instance Contribute to the design of ontologies and metadata schemas for the knowledge graph Develop data-driven
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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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–pollutant interactions, organoids-on-a-chip, and decellularized ECM (dECM), while LMCD specializes in biocompatible hydrogel design and characterization. Novel hydrogels will be developed from dECM, modified
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in Luxembourg and Europe that works on responsible and independent research projects Sustainable by design, empowering our belief that we play an essential role in paving the way to a green society
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opportunities Engage actively in the doctoral program For further information, please contact Prof. Stephanie Kreis: Your profile A Master's degree in a relevant field Experience with wet-lab techniques and
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behaviour using computational approaches such as Bayesian program synthesis and inverse reinforcement learning. Investigate the diversity of motor commands that could implement observed behaviours and explore
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Participate in a dedicated training plan (PhD requirement) Contribute to various activities (e.g., research, admin, outreach) within the research group, the department or university Engage in collaborative work
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international conferences; Participate in strategic planning and dissemination activities in coordination with other partners. Key Skills, Experience and Qualifications MSc (or equivalent) in Data Science