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Field
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accessibility, and dependency on corporate-controlled resources. The project aims to develop data-efficient and reliable training strategies for vision foundation models, reducing the need for large datasets and
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sits at the intersection of AI Safety and Data-Centric AI. We aim to make large-scale ML more reliable, transparent, and aligned with human values. We are specifically interested in: Data-centric AI
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qualifications: Knowledge of polymer processing and statistical experimental design (DoE) Collaborative mindset and enthusiasm for working in interdisciplinary teams Strong organizational skills and a structured
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structures with extraordinary precision and do so quickly enough to keep up with large-scale production. This creates a fascinating computational challenge: how can we infer hidden physical properties from
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renewable energy use, energy security, and the reliable operation of hydro-dominated power systems. The project will focus on how AI can support advanced optimization models for hydropower and energy-system
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project focuses on developing probabilistic latent-variable methods for large and structured biological data, with applications in genomics, spatial transcriptomics, and fluorescence imaging. High
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of extracting reliable structural and logical information from complex semiconductor architectures under realistic imaging constraints. Specifically, the researcher will focus on the following three main tasks:(a
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to better understand and control the manufacturing process so that small, precise, and reliable structures can be produced efficiently. These developments will contribute to the project's broader
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Helmholtz-Zentrum Berlin für Materialien und Energie | Jena, Th ringen | Germany | about 2 months ago
of Redox-Active Polymers at HIPOLE Jena Your Tasks Synthesis of redox-active monomers and polymers Characterization of redox-active polymers (from structural characterization to electrochemical properties
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-powered aircraft structures. Job description How do aerospace materials deform and fail at temperatures approaching 20 K (-250 °C)? And how does their behaviour change under dynamic loading? In this PhD