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Designing hierarchical graph‑based models to predict toxicity under uncertainty by linking molecular‑level and system‑level knowledge Advancing causal inference methods to predict transformation products
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Knowledge of deep learning architectures, graph neural networks, or uncertainty quantification Familiarity with HPC environments Language Requirements: Applicants must demonstrate at least B2-level
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strategies to reduce hallucinations or improve model confidence Evaluate and benchmark against state-of-the-art methods the reliability and robustness of the hallucination detection system under diverse visual
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We are looking for a highly motivated PhD candidate interested in AI-based methods, including machine learning and language technologies, for the integration and analysis of clinical, advanced data
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robustness assessment and attack/defense mechanisms. Expertise in software security and code analysis, with understanding of common vulnerabilities and software testing practices Proven research record with
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). You will conduct research in one or more of the following topics Crystallization of polymers Analysis of the structure of semi-crystalline polymers Mechanical and thermal properties The work involves
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responsibilities: Differentiation and characterization of iPSC-derived midbrain assembloids Analysis of stress granules and membraneless organelles using imaging Application of stress paradigms and assessment
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SD-26045-RESEARCHER IN ADVANCED PLASMA-ASSISTED DEPOSITION PROCESS DEVELOPMENT FOR CATALYTIC THIN...
, including catalytic activity. Correlate process conditions, material properties, and catalytic performance Contribute to the analysis, interpretation, and dissemination of results through scientific
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Collaborate with CCY researchers on ongoing projects and contribute to the development of new research initiatives Contribute to data analysis and data management Contribute to national and internationals
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asset. Interest in uncertainty quantification (sampling methods, sensitivity analysis, propagation of uncertainties) is an asset. Ability to work independently and collaboratively, manage tasks, and