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for application layer development of experimental control and data analysis applications (e.g. Python, C/C++). • Consistently using conventional and readable coding style. • Creating comprehensive and well-written
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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
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, particularly in the languages used in computational research applications (e.g. Python, R, Julia, C/C++, Rust, JavaScript). - Ability to work in a team setting and independently. - Ability to learn new
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receive interviews will also be asked for a data analysis code sample (in R, Stata, SPSS, Python, or similar) and 2 references (with ideally at least one of these being an academic/research reference
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languages such as Python, R, or C++. Demonstrated successes working in a collaborative software development environment as well as working independently. Excellent problem-solving and analytical skills
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cover letter will not be considered. Applicants who receive interviews will also be asked for a data analysis code sample (in R, Stata, SPSS, Python, or similar) and 2 references (with ideally at least
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or high-level programming language, like Python or Java Knowledge of statistical packages, including STATA, SAS, and/or R Knowledge of standard internet tools and HTML Familiarity with standard political
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non-human primates and/or background in electrophysiology of the visual system are preferred. All candidates must possess strong quantitative skills (e.g. Matlab, C++, Python). The term
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/debug software Basic skills in Python, Matlab, R or other programming languages Princeton University is anEqual Opportunity and all qualified applicants will receive consideration for employment without