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tasks: Develop simulation models for green hydrogen systems using MATLAB/Simulink. Design and evaluate hybrid configurations integrating energy storage and intermittent generation (mainly photovoltaic
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. 2. Data Processing & Analysis · Process and analyze motion capture, EMG, force plate, and/or musculoskeletal modeling data using specialized software (e.g., Visual3D, MATLAB, etc.). · Perform
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(Python, R, MATLAB). Preferred Qualifications Expertise in CNS-targeted delivery, BBB transport, or neurodegenerative disease models. Experience with high-throughput screening platforms, or combinatorial
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to field and area) Proficiency in coding, robotics, and computational design tools (e.g., Python, MATLAB, Arduino, TensorFlow, SolidWorks, or similar). Other: Reliable transportation to Lansdale, PA, and
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protein sequence/structure data using in-house scripts, Matlab and bioPython tools. Supports the day-to-day activities and operations of the laboratory. Collaborates with the Co-Principal Investigator
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. Use coding (e.g., Python, R, MATLAB, or similar) to clean, process, and analyse large MLA datasets and to generate figures, tables, and visual outputs for reports, publications, and presentations
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for data analysis (R, Python, Matlab). Cell biology background. Columbia University is an Equal Opportunity Employer / Disability / Veteran Pay Transparency Disclosure The salary of the finalist selected
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large clinical datasets, strong programming skills in Python, MATLAB, or R, and excellent analytical and data analysis skills. Modes of Work Positions that are eligible for hybrid or mobile/remote work
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for exempt full-time employees in your first year. Qualifications Required Education and Qualifications: Ph.D. or other doctorate level equivalent in Space Plasma Physics Data analysis software, e.g., matlab
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software development skills in C++ and one or more of the following: C, Python, MATLAB, C#, or JAVA Familiarity with Linux operating systems Able to work in an Agile based work environment collaboratively