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representations with limited, weak, or noisy supervision Adapting, specializing, or probing large pre-trained models for domain-specific visual understanding Self-supervised and representation learning for images
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world models that integrate object-centric 3D representations (Gaussian Splatting) with physics simulators (Drake) to create efficient, physically grounded digital twins of real environments; developing
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research group focused on (noncommutative) algebraic geometry, with connections to representation theory. This position offers opportunities for collaboration, participation in seminars and workshops, and
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of quantum technologies and LEO PNT in order to identify novel capabilities and technologies, unknown connections, adjacent skills, clustering and knowledge flow. Conduct stakeholder interviews: lead
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those institutions. It also liaises with national Permanent Representations to the European Union (EU) as well as the various EU bodies and institutions such as EEAS, Parliament to ensure that ESA’s views
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advanced engineering approaches, including model-based engineering methods, digital representations of systems and processes, immersive engineering environments and data-driven engineering techniques
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parameterized compact models for defective devices. Derive fault models from physical defect behavior to enable accurate representation of failures across circuit and system abstraction levels. Develop and
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knowledge of EU institutions, policies, and funding programmes, particularly Horizon Europe and Erasmus+. Experience with advocacy, policy influence, and/or representation in EU networks is a strong asset
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on “Social Inequality and Diversity”. As an Assistant Professor in Social Inequality and Diversity in International Institutions you will contribute to advancing our knowledge on the causes and consequences
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to benefit from local knowledge and prevent further escalation of conflict. For more details on the project, please see here . About the position: The Postdoctoral Researcher will have the following tasks