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of a Holocene wetting trend”. The project seeks to confirm the extreme persistence of the 2nd century drought in the Colorado River basin, and assess its drought characteristics in the context of both
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uncertainty quantification into scientific machine learning workflows and optimize the design of computational (ABM) and wet-lab experiments. • Collaborate with mathematical modelers and experimentalists in
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-beam lithography, UHV thin-film deposition, dry/wet etching, materials and surface metrologies) Experience operating dilution refrigerators Expertise in superconducting microwave circuit design and
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. coastlines, including incorporation of levees, jetties, and wetlands. Ingest and process coastal datasets (bathymetry, topography, land use/cover) to support accurate wetting and drying and bottom friction
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(Led by Dr Andrés Henao) and the Inorganic Nanoparticles Group at ICN2 (Led by Dr. Neus G. Bastús). focuses on the rational design and synthesis of advanced inorganic nanomaterials through wet-chemistry
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highly collaborative, supportive environment spanning wet‑lab, computational, and translational efforts, embedded in the Department of Biochemistry at the University of Utah. Clear lines of sight to high
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for machine learning and AI workflows In addition to computational resources, the postdoctoral researcher will have access to dedicated wet-lab facilities at the University of Chicago and Argonne National
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Apply now Job no:503761 Work type:Exempt Staff Full-time Location:Bethlehem Categories:Postdoc The Schultz Lab is seeking highly motivated PhD-level scientists to lead computational or hybrid wet
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discipline. Previous research experience in immunology and/or -omics research. Ability to work with animals. Demonstrated ability to follow general wet lab practices. Excellent written and verbal communication
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to systematically map drug and genetic interactions of bacterial immunity in microbial isolates using high-throughput genetics (Brenzinger et al, 2024, Nature Microbiology ). The ideal candidate will do wet-lab work