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working within the Master in Architecture under the supervision of Prof. Dr. Florian Hertweck. Your role Collaborative and individual research on the socio-ecological transition in architecture and urbanism
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to ensure purposeful, legally compliant, explainable and auditable AI behaviour. The research advances three main technical fronts: Embedding explicit norms into the BDI cycle, compiled into enforceable
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the main bioinformatics software and methods (R, Python, Bash). Knowledge on large-scale genotyping/sequencing data analyses. Good level in statistics. Good level of written and oral English. Ease in a
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biomedical research. Your profile Master's degree in computer science or related discipline Experience with Python and recent deep learning frameworks (e.g. Pytorch, MONAI) Strong interest in image analysis
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the final thesis. The first year of the Ph.D. programme corresponds to the Master in Quantitative Economics and Finance (MQEF). All courses are in English and taught by local faculty and visiting scholars
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material, such as web, demos, events, to increase the visibility and impact of the lab's work Contribute to teaching and (co-)supervision of students Your profile Master's degree in Computer Science, Human
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-political, participatory, and cross-border planning, as well as Master's-level teaching. The candidate will join a research team working on urban conflicts, migration, governance, and spatial transformation
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contact Prof. Stéphane Bordas ( ) with CC to Dr. Jakub Lengiewicz ( ). Your profile A Master's degree in Applied Mathematics, Computational Science, Physics, Engineering, or a closely related discipline
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resource center dedicated to supporting sciences at the primary school levels through teacher education and research-based innovations. Current global challenges call for transformative approaches
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participation in phantom and clinical studies with CHL More information about the team and environment: Computational Mechanics (Legato), Legato Team site , Legato YouTube Your profile Master's degree in