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Sorbonne Université SIS (Sciences, Ingénierie, Santé) | Paris 05, le de France | France | 3 days ago
outcomes include the development of more powerful analytical tools for the analysis of complex mixtures, improved isomer discrimination, and rapid and reliable quantification methods for contaminants in
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realistic and reliable analysis models from an engineering point of view. b) Develop highly efficient structural models that include non linear phenomena like buckling for the topology optimization problem. c
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NIST only participates in the February and August reviews. The Materials Reliability Division at NIST houses one of the nation’s leading laboratories for testing the reliability of structural
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represented in training data or entirely unseen. This will be achieved through three complementary research directions, each structured around a core research question and a set of concrete tasks. Task 1
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engineering — influencing critical decisions and delivering reliable, forward-thinking solutions supporting the University mission. Position Responsibilities Design, Engineering & Construction (75%) Design and
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Deutsches Zentrum für Neurodegenerative Erkrankungen | Bonn, Nordrhein Westfalen | Germany | 11 days ago
to work independently in this area Experience with tissue processing, histological techniques, and microscopy Knowledge of image analysis tools (e.g., ImageJ, QuPath, or similar) is an advantage Structured
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to applied quantitative analysis and machine learning workflows that support infrastructure systems research and urban analytics. The role focuses on working with large-scale, structured, and geospatial
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Austrian Academy of Sciences, The Austrian Centre for Digital Humanities (ACDH) | Austria | about 12 hours ago
workplace structures, in particular for persons with disabilities. Where to apply Website https://oeawnr.onlyfy.jobs/application/apply/oqni3gjitzbgobd9f96qdm3ygm8h6ef Requirements Research FieldLanguage
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for applications in photonics, electronics and emerging quantum technologies. It serves both academic and commercial users, providing reliable epitaxial materials that underpin advanced device research and
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environments Limited support for verifying the correctness and long-term impact of AI-assisted changes AI-based tools themself are agentic software which needs to be verified for security and reliability