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experience with finite element or finite difference modelling and its underlying fundamentals. The student should be able to program in MATALB or Python (MATLAB preferred as lead supervisor is more familiar
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Python, R, or MATLAB. Solid understanding of battery systems, electrochemical processes, or energy management. Preferred Skills: Experience with time-series analysis, predictive modeling, and anomaly
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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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(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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year experience in training laboratory animals Willingness to work as part of a team Basic computer skills (MS Office, Google Docs/Sheets/Slides, etc.) Preferred Qualifications: Highly Preferred: MATLAB
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, and Abilities: Knowledge of particle accelerators and emerging particle acceleration techniques and technologies Experience with Python, MatLab or Julia programming language in online machine control
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the following requirements: Master's degree in electrical engineering, mechatronics, or a related field, a clear interest in the topic of the position Strong programming skills in Python, with experience in
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. In addition, candidates need experience in quantitative imaging and working with large clinical datasets, strong programming skills in Python, MATLAB, or R, and excellent analytical and data analysis
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and/or training in programming (e.g., Matlab, Python, etc.) Statistical expertise relevant to the duties Sufficient experience and demonstrated skills to successfully perform the assigned duties and
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of operations, and the collection of data for testing operations. Manage data in Microsoft Excel, Matlab, or Python. Minimum Qualifications Full Employment Eligibility Requirements can be found here: https