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-smart growth strategies for California state, regional, and local agencies. This position will be conducting quantitative and spatial analysis using R or Python to model socioeconomic microdata, parcel
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(ML)-based decision support system Building reproducible data pipelines and analysis workflows using statistical programming languages (e.g., SQL, Python, or R) Formatting clinical data and preparing
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with basic bioinformatic analysis (DNA/RNA sequencing). (Required) Experience with bioinformatic frameworks (R, Python) (Required) Ability to perform statistical analyses of molecular data (Required
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automated liquid-handling workflows on an Opentrons Flex platform (Python API). Establish and run spatial proteomics on in vitro co-cultures, engineered 3D tumor models and tissue sections. Implement clonal
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software using LabView or Python to control the experiments and record the data. 25% Developing ac susceptibility system. This entails winding coils, on the order of a thousand turns of 50ga copper wire
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quantitative data analysis. Strong programming skills in Python, including the development of reproducible data-analysis pipelines. Experience coordinating research or data-analysis tasks across projects. Strong
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programming and data analysis (e.g. MATLAB, Python). Previous experience conducting experiments in a wave flume or wave basin is a plus. Previous experience, for example through a master’s thesis, in nature
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to the project and analysis of results (e.g., Ansys fluid, COMSOL Multiphysics). • Use of MATLAB, C++ and Python. • Contact with suppliers and manufacturers of parts of implantable devices. • Search and analysis
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an opportunity to make significant contributions to various national and international projects. The full job description is available, here: https://docs.google.com/document/d/1m6-yhqdLUBj7
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discipline. Demonstrated programming experience in Python and Linux-based computing environments. Ability to work collaboratively in a research setting and communicate scientific findings effectively