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of efficient AI-for-Science systems, leveraging foundation models (including small language models) and parameter-efficient adaptation techniques such as LoRA, grounded in a strong understanding of optimization
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create a sustainable world? In our multidisciplinary research team, we have a PhD vacancy in catalysts development for urea synthesis. Join our team to design and improve, in close cooperation with other
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, processing and interpretation. Developing, implementing and optimizing workflows for cryo-ET sample preparation, data acquisition and data processing. Supporting and training users in cryo-ET methods and
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. Successful candidates may come from any relevant discipline. All requirements for the PhD or other terminal degree in the relevant field must be completed by August 1, 2027. A record of publication and
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. Successful candidates may come from any relevant discipline. All requirements for the PhD or other terminal degree in the relevant field must be completed by August 1, 2027. A record of publication and
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therapeutic tool development, resource optimization for housing services, and development and scaling of innovative initiatives in affordable housing development, job creation and placement, and eviction
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-modality models Knowledge in deep learning optimization, such pruning and quantization Strong academic writing skill Personal characteristics To complete a doctoral degree (PhD), it is important that you are
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work on plant genetics, growth strategies, and crop management with the aim of achieving optimal crop performance by integrating plant, environment, and management. The position offers close
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. The Research Assistant/Technician will perform highly skilled tasks such as the optimization and scaling up of DNA synthesis reactions, functionalized microbead fabrication, and other cellular and molecular
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: Develop and optimize multistep synthetic routes for new small molecule fluorophores and bioactive ligands for multimodal microscopy applications. Apply drug-discovery models, molecular docking simulations