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multiphase flow in porous media. 80% - Applying numerical and analytical infiltration models to quantify groundwater recharge potential under varying hydrogeologic conditions. In parallel, the researcher will
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Redshift Survey (GRS) team. The appointment will focus on simulations and analysis that underpin the survey: end-to-end grism simulations and realistic mock catalogs; modeling and optimization
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Class Acad Prof and Admin Add to My Favorite Jobs Email this Job About the Job Research Description: Position will require the development and application of numerical codes modeling the nonlinear
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Vegetation Simulator (USFS FVS). Experience with software tools such as R, CPLEX, Optimization with Python, Remsoft (Woodstock). Excellent communication skills and ability to work collaboratively with others
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(WGS). You will play a pivotal role in analyzing PGx data from our Molecular Diagnostic Laboratory to identify and characterize clinically actionable drug-gene pairs, ultimately helping to optimize
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environment where everyone can achieve their full potential. The School is supported by numerous centers which extend the research and outreach missions of the department, including the Institute
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sequencing, Hi-C, and other protocols bioinformatic and statistical analysis of complex datasets that include numerous types of data including 16S, metagenomic, metatranscriptomic, and enriched metagenomic
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with fellow researchers in the Kennedy Lab and collaborating labs about research protocols, including protocol trialing and optimization, and project progress. ● Assist with data curation (e.g
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Responsibilities: Lead Independent Research (80%): • Design, plan, and conduct independent research projects with guidance from the Principal Investigator. • Develop and optimize new experimental techniques and