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selectivity between materials and minimize plasma-induced damage, will be evaluated as part of this study. To achieve this objective, it will be necessary to understand the etching mechanisms of the different
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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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Join the forefront of groundbreaking research at the Beckman Research Institute of City of Hope, where we're changing lives and making a real difference in the fight against cancer, diabetes, and
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. We are working across natural and social sciences in a multidisciplinary way. This approach requires new ways of integrating different types and sources of data to validate if the results or structure
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activities is a plus Working knowledge of Python or R for data handling and figures; familiarity with git is a plus Familiarity with climate mitigation scenarios and the IPCC literature is a plus Excellent
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science, spatial analytics, or a related field; experience with diverse spatial analytical methods; strong programming skills (e.g., Python) and version control (e.g., GitHub); experience working with multi
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physiological signal. This MSc by Research will investigate a fundamentally different question: “Can low-energy electrical measurements provide a reliable estimate of changing fluid volume within a cardiovascular
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User Interface (GUI) and Python API Create the communication layer between our in-house CFD and mesh generation software Develop unit and regressions tests Maintain Github repository and Continuous
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CCM+. Experience developing scientific software using Python and/or C++. Experience with external aerodynamic simulations. Experience with mesh generation and numerical simulation workflows. Desirable
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computer science, software engineering, or a related discipline Experience building web applications (full-stack or back-end development) Proficiency in Python and familiarity with web frameworks (e.g., Flask