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Field
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). Knowledge and abilities with advanced analytical techniques such as LC-MS, GC-MS, Raman spectroscopy, and NMR for compound identification and metabolic profiling. Familiarity with statistical modeling and
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to cutting-edge resources and core facilities. Potential projects encompass the characterization of novel mutant animal and cell culture models showing cell autonomous effect of lysosomal enzyme deficiency in
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, 2022 ( https://www.nature.com/articles/s41593-022-01109-2 ) The successful candidate will work with mice and conduct in vivo neurophysiology with molecular tools, data analysis, and modeling (using
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modeling. Contribute to and drive forward the project’s work plan and study goals. Ideal Candidates: The ideal candidate will hold a Ph.D. in Biology, Biochemistry, Epidemiology, Genetics, Genomics
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communication skills are needed, as well as the ability to work in teams. Ability to model Argonne’s core values of impact, safety, respect, integrity, and teamwork. Considerable: Semiconductor chemical vapor deposition
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data collection in growth chambers and field experiments, analyze results, and interpret findings; and evaluate and improve research techniques, modeling approaches, and experimental protocols
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information about the lab, please visit https://mesa-lab.org/. Projects will utilize in vivo mouse models, transcriptomic techniques, and advanced intravital imaging to investigate: 1) How immune cells localize
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data processing (particularly related to protein structural analysis/modeling) Experience with mammalian protein expression Expertise in Hemostasis and Thrombosis Familiarity with Linux-based computer
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ability to analyze large datasets Knowledge of coastal and nearshore processes Preferred Qualifications: Proficiency in statistical modeling and time series analysis Experience with machine learning or deep
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investigating crop and/or weed physiology/ecophysiology. Experience using and modifying crop growth models. Demonstrated expertise in conducting field-intensive crop growth analysis. Work Location (City, State