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Field
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hydrological modeling at catchment scale, and familiarity with modeling tools. Proficient in statistical analysis and programming languages such as Python, R, or MATLAB. Strong written and verbal communication
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the use of bioinformatics tools for metagenomic and transcriptomic data analysis (e.g., QIIME, DADA2, R, Python). Demonstrated ability to independently design and conduct experiments, analyze data, and
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simulations on the Aurora supercomputer, using AMReX (https://amrex-codes.github.io/amrex/ ) and the lattice Boltzmann method (LBM). The candidate will develop flow/geometry-aware refinement strategies that go
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, or a related field Ability to analyze complex multi-dimensional datasets Preferred Knowledge, Skills, and Abilities: Experience developing Python programs Experience with machine learning approaches
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at less than 10% of working time). For both PhD and Postdoctoral candidates You hold a Master’s degree obtained with cum laude or equivalent. You have strong programming skills, especially in Python, and
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/computer science/environmental engineering, or a related field (obtained no earlier than 7 years before the year of employment in the project). Proficiency in MATLAB and/or Python. Experience working with
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). Conduct in vivo optical imaging experiments on healthy volunteers and patients; Develop image-analysis pipelines (Python, MATLAB) and model functional optical signals; Optimize and maintain the AO-RSO
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filled with mentorship and guidance for both research and career progression. Job Description Primary Duties & Responsibilities: Information on being a postdoc at WashU in St. Louis can be found at https
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mammalian or microbial systems, preferred. Familiarity with computational analysis or coding (e.g., R, Python), preferred. Equipment Utilized Physical Demands and Work Environment PHYSICAL DEMANDS: Standing
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the supervision of an observatory physicist. Collaboration and interaction are planned with research engineers and researchers who use the unit's GNSS and InSAR data and tools. Where to apply Website https