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15 Aug 2026 Job Information Organisation/Company Utrecht University Research Field Engineering » Civil engineering Engineering » Water resources engineering Environmental science » Earth science
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About the Opportunity Job Summary The Postdoctoral Associate will conduct integrated experimental and computational research on informatics-driven mechanical characterization of solid and porous
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Grafing bei München, Bayern | Germany | about 2 months ago
. Our major research fields are AI-based organ mapping, tissue engineering and precision medicine in cancer treatments. Sophisticated technologies such as 3D tissue imaging or molecular profiling are
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control, mathematical optimization, or data-driven modelling. Experience with numerical modelling, simulation, optimization, control, or engineering-data analysis. Good programming skills in Python
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imaging. Relevant themes include privacy, robustness, reliability, model-based AI, machine learning, and semantic or task-driven methods, within the group’s established research agenda. About the
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‑to‑end ML/AI and/or simulation‑driven software systems, from data ingestion and model development to experimentation and deployment. Hands-on experience with machine learning frameworks, particularly
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| Department MS3](https://www.utwente.nl/en/et/ms3/research-chairs/ed/)) group, Faculty of Engineering Technology at the University of Twente, The Netherlands has an opening for a postdoc candidate
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team. Preferred Familiarity with data-driven engineering methods, particularly those leveraging artificial intelligence or machine learning. Key Responsibilities & Accountabilities 1. Initiate, Execute
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Department of Civil, Environmental and Natural resources engineering at Luleå University of Technology seeks a driven and committed PhD student with a focus on how urban water pipes and streets could
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and resilience planning for the Treasure Valley. Unit URL https://iwrri.uidaho.edu/ Position Qualifications Required Experience Experience working with quantitative analysis, modeling, or data-driven