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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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Deutsches Zentrum für Neurodegenerative Erkrankungen | Bonn, Nordrhein Westfalen | Germany | 8 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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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
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, specifications, and construction submittals to confirm conformance with applicable codes, standards and University Facilities Standards. Provide the analysis, development, and design of electrical projects
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statistical methods (PCA, cluster analysis, discriminant analysis) basic knowledge of early medieval archaeology in Central Europe diligence, responsibility, reliability openness to change team spirit self
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relational databases and SQL; familiarity with web server deployment and Docker Compose. Experience with tools for somatic or germline variant discovery, structural variant analysis, or copy number variation
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/molecular biology techniques (e.g., qPCR, RT-PCR, Western blot, ELISA) High level of responsibility, reliability, and attention to detail Independent, structured, and solution-oriented working style Team
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development processes Exploring techniques for improving the reliability and trustworthiness of AI-assisted software changes The work combines methods from software engineering, data analysis, and AI, and