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Field
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support on foundation models and generative AI systems; (b) explore advanced techniques in foundation large language models and multimodal large language models, with a focus on pre-training, post
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focus on translational Research, Development & Deployment which focus on specific area of the energy value chain, and a number of Living labs and Testbeds which facilitate large scale technology
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foundation in computational or statistical genetics. Experience analyzing large-scale datasets is essential, as the work will involve complex genomic and multi-omics data. Familiarity with machine learning
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statistical methods to analyze large-scale genomic datasets, including bulk RNA-seq, single-cell RNA-seq, DNA sequencing, epigenomic profiling, and related multi-omics assays. Design, implement, optimize, and
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Responsibilities: Design and develop statistical methods for high-dimensional omics data, including multi-level data (subject, tissue, single-cell) with or without spatial features. Analyse large-scale omics
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, multimodal, and agentic AI, as well as foundation models, with a focus on geometric deep learning, large-scale knowledge graphs, and large language models. Fellows will also have the opportunity to apply
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learning (ML) methods Interest in developing innovative computational approaches for large-scale biological datasets Salary: Salary will be competitive and commensurate with qualifications and experience
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aspects of ICT (Information and Communication Technologies). It is home to over 200 researchers with expertise in all communication and broadcasting systems and has developed the best-in-class large scale
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aspects of ICT (Information and Communication Technologies). It is home to over 200 researchers with expertise in all communication and broadcasting systems and has developed the best-in-class large scale
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Technology is seeking qualified persons (U.S. Citizens preferred) to join a team of researchers within the NIST/CHIPS Nanometer-Scale Planar Reference Materials project working with advanced metrology methods