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specifically interested in: Data-centric AI: Advancing machine unlearning, privacy-preserving techniques, and robust data curation. AI Safety : Ensuring robust alignment and safety in multi-agent LLM
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values. We are specifically interested in: Data-centric AI: Advancing machine unlearning, privacy-preserving techniques, and robust data curation. AI Safety : Ensuring robust alignment and safety in
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project aims to control the growth, alignment, and assembly of framework materials using external fields (electric, magnetic, or flow) to create structured, anisotropic, and multifunctional materials
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, but are not limited to, stochastic partial differential equations, optimal transport, gradient flows, uncertainty quantification, model order reduction, data assimilation, optimal control, and their
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photonic quantum technology for quantum computing and other quantum information applications with the investigation of fundamental quantum science questions. The main activities range from quantum control of
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experience with experiment design software (e.g. Zemax, CAD,…) • Ideally, you have experience with software related to experiment control and data analysis (Python, IMSwitch, PiScat) • Ideally, you
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quantum control of single photons using solid-state photon sources, integrated waveguide technology, tailored nonlinear media and detectors based on superconductor technology to interferometric
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experiment design software (e.g. Zemax, CAD,...) • Ideally, you have experience with software related to experiment control and data analysis (Python, IMSwitch, PiScat) • Ideally, you have experience