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to both technical metrics and educational outcomes. Responsible AI and fairness auditing. Conduct algorithmic fairness validation of the CLARA system, develop documentation on data governance and GDPR
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Network, aims to develop an energy-efficient compute-in-memory (CIM) architecture using gain-cell memory for real-time edge learning, addressing power, latency, and memory bandwidth issues with reliable
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postdoctoral research is part of the NWO project “PAving THe way towards Zero-Emission and RObust inland shipping (PATH2ZERO)”, which aims to develop breakthrough action perspectives and sustainable business
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the NWO project “PAving THe way towards Zero-Emission and RObust inland shipping (PATH2ZERO)”, which aims to develop breakthrough action perspectives and sustainable business models for all parties in
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data, code, models, and documentation in a way that supports findability, accessibility, interoperability, and reusability. A willingness to learn new algorithms, tools, and developments in AI, including
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how a tumour responds to therapy across biological scales, are both betting that structure beats brute scale. In this PhD you will develop mechanism-informed world models: models that do not merely
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missions in the domains of Earth observation, science, and resilience, navigation and connectivity. The Section carries out technological research and development, harmonisation and standardisation in
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Database (AMD). SMT is responsible for maintaining, assuring the quality of, and further developing the AMD. Before the AMD was introduced, medical data were stored in a SQL Server database. Some of these