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Field
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techniques; large data processing and high performance computing; advanced causal inference and statistics; computer vision and novel applications of machine learning. Advanced knowledge of R or Python is
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possible. For further details, visit https://sdonglab.org/ . The initial appointment is for one year, with the potential for extension depending on regular progress evaluation and continuation of funding
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possible. For further details, visit https://sdonglab.org/ . The initial appointment is for one year, with the potential for extension depending on regular progress evaluation and continuation of funding
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for advanced data analysis and/or experimental control (e.g., Python, SPEC, MATLAB, etc.) Experience with relevant sample preparation and lab-based analyses (e.g., SEM, Raman) Experience with or interest in
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both R and/or Python. Ability to collaborate and clearly communicate with stakeholders, state and federal agency biologists, university scientists, and non-governmental conservation organizations
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(HPC), or large-scale data analysis. Experience in applying AI/ML techniques to hydrological and Earth sciences. Proficiency in scientific programming languages such as Python, Julia, R, Fortran, or C/C
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appropriate filtering, artifact rejection, and preprocessing techniques. Leading Role in Data Analysis and Machine Learning: Perform complex data analysis using statistical software such as Python, MATLAB, and
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Python are required. Experience with control and optimization of power generation systems (e.g., wind power) is desirable but not required. Some experience with real-time control hardware is desirable but
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Primary Duties & Responsibilities: Information on being a postdoc at WashU in St. Louis can be found at https://postdoc.wustl.edu/prospective-postdocs-2/ . Please visit our lab website for more information
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modelling of high-dimensional datasets. Experience in basic computational methods (e.g. R, Python, and/or other programming languages) Experience in developing computational analysis pipelines Experience with