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at Sahlgrenska Academy of relevance include genomics, metagenomics, culturomics, proteomics, transcriptomics, software development, machine learning, and other statistical analyses of large-scale health data
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Data Science Investigator project (“LM2-SEC: Linguistically Motivated Language Model Security”). Your work tasks As a PhD student, you will conduct research at the intersection of Security, Safety, and
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analyzed with various Machine Learning and Data Science techniques to assess the dynamics involving case processing and costs. The first phase of the research will organize general data from the lawsuits
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and aggression, using optogenetics, in vivo imaging, electrophysiology, and sophisticated machine learning/artificial intelligence analyses of mouse behavior. All projects have translational components
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, solvent-based recycling process for complex plastic waste streams such as multilayer packaging and e-waste, while Exergy will develop the digital-twin and machine-learning tools that make the process
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and teaching portfolio in AI, with a focus in data science, machine learning, image analysis, natural language processing (NLP), Large Language Models (LLMs) or generative AI. You will contribute
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artificial intelligence (AI) and big data mining methods for real-time defect detection and adaptive process optimization in Electron Beam Powder Bed Fusion (EB-PBF) of refractory metals such as tungsten and
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Requirements Research FieldComputer science » Computer systemsEducation LevelPhD or equivalent Skills/Qualifications Knowledge • Solid understanding of machine learning, deep learning, and modern AI techniques
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 1 month ago
for extension based on mutual interest. We are looking for individuals with a strong theoretical and practical background in large language models, machine learning, and natural language processing, combined with
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scientists, and technology innovators. Located in the heart of Las Vegas, the College serves a diverse student population and offers robust programs in electrical and computer engineering, computer