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and data management tools, such as Python, R, Jupyter, Linux, Globus, STAC, GitHub, containers is recommended. Familiarity with cloud technologies, databases and Pangeo ecosystems is a bonus. The Term
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and econometrics Strong background in quantitative, experimental research, and statistical methods. Knowledge of scripting or high-level programming language, like Python or Java Knowledge
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development experience (e.g., Python, R, JavaScript, etc.) - Research experience in psychology or neuroscience - Excellent organizational skills, intellectual curiosity, and community orientation Review
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to these areas within Alma. Qualifications Required: Bachelor's degree Minimum 3 years of relevant experience Familiarity with at least one common scripting language (Python, Ruby, Perl, etc.) Familiarity with
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- Programming, statistical, and/or web development experience (e.g., Python, R, JavaScript, etc.) - Research experience in psychology or neuroscience - Excellent organizational skills, intellectual curiosity, and
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. Experience in numerical software packages and languages like Matlab, Python and Julia. Knowledge in statistics and econometrics, including knowledge of statistical programming using STATA. Preferred Candidates
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simulations, statistical mechanics, computer programming (e.g., C++, Python), polymer theory, molecular modeling (e.g., of proteins, nucleic acids, ligands), coarse-grain and polymer model development
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Python, PHP, and Javascript) to support the extraction and transformation of collections data to other platforms including the Museum website Write scripts to manipulate and import large data sets into TMS
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to these areas within Alma. Qualifications Required: Bachelor's degree Minimum 3 years of relevant experience Familiarity with at least one common scripting language (Python, Ruby, Perl, etc.) Familiarity with
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software development, etc.). Proficiency in programming languages like Python and C++. Expertise in machine learning algorithms and techniques. Familiarity with AI frameworks like TensorFlow, PyTorch