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Program
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Field
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of machine learning/deep learning (e.g., classification, feature learning, neural networks). Experience in scientific programming (e.g., Python and/or MATLAB) and code management tools. Good knowledge
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management Experience in data analysis or data management using database software Proficiency with any or all of the following data analysis and computing software: Python, R, Matlab Demonstrated expertise in
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equivalent. Specific knowledge of hydrology, urban water engineering, basic computer programming (e.g. Matlab or Python) and experience carrying out measurements of stream flow (or similar) are meritorious
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field measurements (e.g. related to soil–water processes or geophysical approaches), and basic computer programming skills (e.g. MATLAB or Python) are meritorious. Other important skills include
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of this project. Transferable Skill Development Position Duties 70% Data analyses and Engineering Support: Analyses physical ocean and ice data using Matlab or Python; helps design, manufacture, and test electronic
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). - Integration of behavior with imaging/optogenetics in mice. - Development of custom behavioral tasks and closed‑loop experimental designs. - Proficiency in basic data analysis in Python or MATLAB (more advanced
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correction and/or mitigation. Knowledge about networking protocols and distributed algorithms. Experience in programming, e.g., in C++, Python or Matlab. Experience with quantum simulators, such as NetSquid
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such as CFC-12 and SF6, is required. Proficiency in MATLAB or Python is required. Applicants must be able to take part in a nearly two-month-long Arctic Ocean research cruise scheduled to begin in late July
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including (but not limited to): Develops proficiency in mouse behavior experimentation, stereotaxic surgery and fluorescent in vivo imaging. Collects and processes neuroimaging data with Matlab/Python
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programming experience with Kotlin and Java Computer programming experience (e.g., C, R, Matlab Python) including computer simulation of complex physical systems. Strong knowledge of computational diabetes