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and computer engineering, data science, informatics, biomedical engineering, or a related field. Job Description: A Postdoctoral Associate position in AI-driven drug discovery and/or computational
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cell culture and basic molecular biology techniques including cloning, qPCR, RT-qPCR, cloning, fluorescence microscopy, flow cytometry, and Southern and Western blotting Computer proficiency in Microsoft
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, toxicology, or related field Interest in a career in environmental risk assessment Preferred: A foundational background in regulatory risk assessment Ability to draft publication-ready manuscripts with minimal
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Classification Title: Postdoctoral Associate Classification Minimum Requirements: Ph.D. and/or MD in an appropriate scientific discipline required. Job Description: The Ling Xu laboratory
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GC-MS and the postdoctoral associate will make the measurements, analyze the data, prepare manuscripts, and present the results at conferences. There will be opportunities for mentoring student
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scientist to make discoveries in projects at the interface of structural biology, membrane biophysics, and cell adhesion signaling, with emphasis on how receptors and adhesion complexes are regulated by lipid
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) Cleaning and managing large datasets from administrative data sources or online learning platforms Causal machine learning (e.g., double/debiased machine learning (DML), causal forests, generic ML) Learning
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Classification Title: Postdoctoral Researcher Classification Minimum Requirements: A Ph.D. in biomedical informatics, computer science, information science, data science, (bio)-statistics, (applied
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computer science using data-driven techniques (graph theory, ICA, machine learning), in other imaging modalities (DTI; MEG), and in multimodal integration will be relevant. Experience with AFNI/SUMA, SPM, FSL