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Field
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green staining to visualize neural elements and blood cells within bone sections. Conduct Immunohistochemistry: Adapt and optimize multiple antibody stains for use on non-traditional model species like
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impact assessment, or a closely related field. Required Knowledge, Skills, and Abilities Strong analytical and quantitative skills, including statistical programming (e.g., R, Python, or similar
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will work within the Agriculture cluster of the Environment & Climate Research Department. The appointed researcher will contribute to multiple European Union–funded, national, and industry-funded
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, sediment transport/deposition, landscape change); You enjoy working with large datasets and applying statistical analysis and modelling approaches; You use scripting/programming in your research (e.g. Python
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) and Computational Fluid Dynamics (CFD), for polymer composite manufacturing processes Perform multi-physics simulations involving coupled thermal, mechanical, and material behavior across multiple
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 days ago
Lab has performed multiple functional genomics experiments (ATAC-seq, RNA-seq, miRNA-seq, 16S rRNA gene sequencing) in tissue samples and individual cell types from colons and ileums of genotyped human
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captures neural activity and intelligent behavior at unprecedented scale and resolution. This ambitious project spans multiple institutes including the Wu Tsai Neurosciences Institute, Stanford Bio-X, and
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electronics. Experience in C/C++, Matlab, and Python programming. Experience in power systems software like PSCAD, PSS/e. Preferred Qualifications: Experience in real-time simulation hardware like Opal-RT and
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address next-generation HEP and NP detector challenges. The postdoctoral appointee will collaborate closely with leading scientists across multiple divisions at Argonne. Key Responsibilities Elicit and
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Biostatistics, Statistics, Computer Science, Data Science, Bioinformatics, or a related quantitative field Preferred Qualifications Proficiency in statistical computing (e.g., R, Python) Strong quantitative