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Field
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apply cutting-edge machine learning algorithms, with focus on foundation models and LLMs/agents, to analyze complex biological data. This data includes gsingle cell genomics profiles, spatial data, and
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frameworks, such as PyTorch (preferred) or TensorFlow, with a preference for experience implementing SOTA models and training procedures from academic journal papers. Development of data engineering pipelines
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. The mission of the Flatiron Institute is to advance scientific knowledge through computational methods, including data analysis, theory, modeling, and simulation. It currently houses five centers, focused
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Posting Details Position Details Title Postdoctoral Fellow in Medicine Specific Title Pulmonary Appointment Type Postdoctoral Fellow Department IUSM - Medicine - Pulmonary Campus IU School
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settings for people with intellectual disabilities High level analytical capability Ability to communicate complex information clearly particularly to staff working in services Fluency in relevant models
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who are not QUT staff are also eligible and encouraged to apply. Please note that current staff wishing to be considered for secondment to this position must seek prior approval from their supervisor
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research in response and rapidly put findings into practice across our region and beyond. UCLPartners is one of the largest academic health science partnerships in the world, bringing together 17 NHS Trusts
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University of North Carolina at Charlotte | Charlotte, North Carolina | United States | 3 months ago
Position Information General Information Position Number STMP18 Working Title Postdoctoral Fellow - Bioinformatics (Temp) Division Academic Affairs Department Coll of Computing&Informatics (Col
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. This role involves developing computational pipelines, conducting statistical and bioinformatics analyses, and integrating multi-omics data to support precision oncology research. The position aligns with
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tasks such as data preprocessing, feature extraction, model training, and evaluation. Background in Generative AI reserach, including multi-modal LLMs. Background in AI Safety research, inlcuding AI