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of Hardware verification, we aim to develop a neuro-symbolic AI platform to convert informal digital design specifications into formally checkable verification artifacts, with logical rigor, traceability, and
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annotation, and emerging machine-learning and generative methods for spectra or structure proposals. Evaluate and test emerging technologies (hardware and software) in close interaction with collaborators and
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curate data from live organisms sampled with RODI. Actively contributing to iterative improvements of RODI, including both hardware and software developments, based on field and analytical feedback
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contribute to interindividual differences in drug response and safety. We employ a translational approach that integrates preclinical in vitro and in vivo studies with clinical investigations in our
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more energy-efficient. Recovery of critical metals: Developing processes to recover valuable metals such as lithium and cobalt from waste streams, enabling secure and sustainable material cycles. Your
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operating in confidential HPC environments, involving training and adapting 70B-scale multilingual and medical language models on secure HPC infrastructure. Your work focuses on three areas: Preference