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infiltration (LCI) in steels and the inhibitory role of silicon aligns with the team's broader interest in metal–impurity interactions, interfacial phenomena and its commitment to computation-guided design for
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climate control in buildings, aiming for an understanding of how building systems and materials interact with architectural design and the human occupant. The A/S Zero Carbon Building Systems (ZCBS) Lab
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Type Staff Job Description What we want The Postdoctoral Research Associate will join 3AforCT: AI-Guided, Authentic, Ag-STEM Inquiry for Cultivating Computational Thinking in Rural Middle Schools, an NSF
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Helmholtz Association of German Research Centres | Oldenburg Oldenburg, Niedersachsen | Germany | 3 months ago
using modern computational methods or a willingness to expand in this direction. Requirements include: PhD in a relevant subject (e.g., human geography, anthropology, or linguistics) Openness
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subtomogram averaging Integrate the structural data with the lab's interaction mapping, proteomics and computational modeling Design and run follow-up cell biology experiments to test mechanistic hypotheses
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Medicine) Contribute to grant writing and interdisciplinary project development Required Qualifications: PhD in Human Computer Interaction, Information Science, Computer Science, Biomedical Informatics
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Post-Doctoral Associate in the Center for Interdisciplinary Data Science and Artificial Intelligence
Statistical learning theory and complexity analysis Automated theorem proving and formal methods Random matrix theory and its applications in modern AI systems Requirements: PhD in Mathematics, Computer
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, incident response, or post-incident analysis; have experience in human-computer interaction, human-centered AI, explainable AI, or user-centered design; have experience designing, conducting, and analysing
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) Application Deadline 27 Aug 2026 - 00:00 (UTC) Country United Arab Emirates Type of Contract Permanent Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU
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their PhD. The candidate should have a strong research background in at least one of the following areas: solid-state nuclear magnetic resonance spectroscopy, materials synthesis, computational chemistry, NMR