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author publication(s) in journals relevant in your field and/or shared as preprints Strong statistical foundation and expertise in R or python for data analysis Fluent in written and spoken English and
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students and/or in running instructional labs is an asset. Knowledge of software tools relevant to our First Year Engineering program, such as MATLAB, Canvas, Crowdmark, Mobius, Python, MS Office, and
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operations management, proficient in Python, and the ability to manage grades and course admin tasks on Quercus. Class Schedule: Courses may be online or in person depending on circumstances, so candidates
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, astrophysics, or a closely related field. Knowledge of Unix/Linux-based operating systems and the Python and/or C++ programming languages is required. Experience with particle/astroparticle physics detectors
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JavaScript (React/TypeScript), Python, Postgre, Docker and more. Short development cycles will involve small but frequent releases, and constant interactions with the bioinformatics platform team members
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, Python and QGIS) at an intermediate level is preferred. Comfortable with learning new software and interested in developing data management skills.
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team. Skills: Expertise in varying disciplines, with strong proficiency in programming languages such as R, Python or Javascript is required. Experience in big data analytics and deep learning using time
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parallel execution (eg. Batch scheduling, MPI, MP, compute cluster environment) Linux Operating Systems Research Data Management (RDM) Coding using scripting languages (eg. Python, Bash etc) Project
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documenting programs, using C or Python. Qualifications/Requirements of Position The successful candidate should have a PhD in Computer Science, Engineering or related field. Candidates must have a strong
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) Proficiency with tools such as Pix4D, QGIS/ArcGIS, and R or Python Strong writing skills and a track record of peer-reviewed publication Excellent oral and written communication skills in English Interest