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linear models Knowledge and implementation of machine/statistical learning methodology (predictive modeling workflow) R package development experience Demonstrated experience with Tableau (or Power BI
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) training personalized computational models in new contexts, and (iii) studying in-silico clinical intervention strategies. The postdoctoral fellow will have the opportunity to: Learn about computational
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being performed. Basic computer skills including a working knowledge of Microsoft Word, Excel, and PowerPoint. Proficiency in R studio or other statistical software; or an equivalent combination
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financial modeling experience * An equivalent combination of education and experience may be considered. Preferred Education and Experience * CPA or MBA * Five (5) or more years of relevant experience in
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Information Officer (CIO), this role is responsible for setting the vision, direction, and service models that enable efficient, high-impact technology solutions in support of MSU’s academic, research, and
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Job related to staff position within a Research Infrastructure? No Offer Description PhD position on physics-based machine learning modeling for materials and process design Reference code: 2026/WD 1
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, or probabilistic modeling, and be proficient in Python and modern machine-learning frameworks (ideally PyTorch). Experience with single-cell transcriptomics, epigenomics, proteomics, spatial omics, or multimodal
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. With the support of machine learning algorithms and log analysis applied to traffic metadata and communication flows, it ensures system resilience for both legal and regulatory compliance as
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training covering topics such as computational modelling, numerical methods, statistical analysis, machine learning or data-driven analysis of complex systems Experience 0–3 years of postdoctoral experience
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consultations in 3D modeling and digital fabrication techniques for faculty, students, researchers, and clinicians at the Holman Biotech. Commons. Teach workshops on fabrication techniques for the wider