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) or cloud-based big-data pipelines. Experience with large-scale human genomic, omics, or brain imaging datasets. Strong programming skills in Python, R, or MATLAB, with emphasis on data analysis and AI model
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for the development of predictive and descriptive models. Maintenance and continuous improvement of analytical models based on data evolution and healthcare system needs. Administrative work related to the technical
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to establish a roadmap, (2) developing models and benchmarks for LLM-based refactoring, (3) designing autonomous agents, and (4) conducting studies to analyse real-world impact. We are committed to creating a
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Python, PyTorch, and Linux/command line Familiarity with LLM in-context learning and prompt engineering Basic understanding of modern LLM models, ecosystems, and pipelines, including retrieval-augmented
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affect bacteria-based factories cause millions of dollars in losses. Here, we propose the strategy to obtain antiphagents (antibacteriophage agents) that will be safe for bacteria and eukaryotic cells
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The Advanced Photon Source (APS) (https://www.aps.anl.gov/ ) at Argonne National Laboratory (Lemont, Illinois, US (near Chicago)) invites applicants for a postdoctoral position to build a physics
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accredited by the Carlos III Health Institute and as such an agent of the National Science and Technology System. It is part of the public sector of the Generalitat Valenciana, has private legal personality
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practices across the circular steel ecosystem. This PhD position is part of the Groeien met Groen Staal program from the Dutch national growth fund (https://groeienmetgroenstaal.nl). The Groein met Groen
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is concerned with the challenging problem of modeling the complex modern radio environment, where a diverse set of devices and agents share the available spectrum. In this environment, it is crucial
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Department. Computer Science website: https://cs.stanford.edu / Within the Stanford Artificial Intelligence Lab (SAIL ), the Stanford IRIS (Intelligence through Robotic Interaction at Scale) focuses