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Field
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using Landsat, Sentinel, and PlanetScope datasets for remote sensing applications; possess advanced computational skills, including data visualization and proficiency in Python, R, or MATLAB; have
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used; the Framework for Assessment of Changes To Sea-level (FACTS; https://www.fact-sealevel.org/ ), an open-source sea-level projection framework initially developed by the lab, supported
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used; the Framework for Assessment of Changes To Sea-level (FACTS; https://www.fact-sealevel.org/ ), an open-source sea-level projection framework initially developed by the lab, supported
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benefits package with medical, dental and vision insurance and a UC retirement plan. Salary is commensurate with the applicant’s qualifications and experience. Department: https://msi.ucsb.edu
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productivity (publications, presentations, software, system prototypes) Strong analytical and computational skills (e.g., Python, R; simulation or optimization tools) Experience working with real-world datasets
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Science, Education, or related discipline Proficiency in programming (MATLAB, Python, R) Experience using advanced statistics Ability to build advanced experimental interfaces (using Matlab, Psychopy
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computational skills (e.g., Python, R; simulation or optimization tools) • Experience working with real-world datasets, ideally including clinical, operational, or health-related data • Excellent communication
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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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., Python, R) for data analysis, numerical modeling, or machine vision Supervision Exercised This position carries a high degree of independence. The Postdoctoral Associate will meet with the PI at least
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Qualifications: • Experience creating customized MRI acquisition methods • Experience in quantitative MRI techniques • Programming skills in MATLAB and Python • Ability to present research effectively through both