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Simon Fraser University | Northern British Columbia Fort Nelson, British Columbia | Canada | about 1 month ago
2025/06/11, listed until 2025/07/11) Position Description: 2025/07/11 11:59PM Position Description Simon Fraser University (SFU), Canada’s engaged university, is a leading research university advancing
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, molecular properties, and pathological images. Strong knowledge and experience in data science algorithms, methods, and analysis techniques. Experience in programming using Python and R languages and working
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digital communication protocols, and applying advanced Digital Signal Processing (DSP) and Machine Learning algorithms on embedded systems. The Research Assistant 2 will report to the McGill Principal
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. Responsibilities include (but not limited to): Lead the development of the NC-ARPES technique (hardware, post-processing algorithm, theory, data interpretation) Propose and perform new TR-ARPES studies of quantum
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: Athletics and Recreation Position Summary: Under the direction of the immediate supervisor, the Event Assistant provides general support for events, following established procedures. The list of functions
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will design and implement scalable software infrastructure and data processing software for CHIME's massive datasets. The role includes algorithm development and data analysis of cosmology datasets
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, Python, or C/C++, with the ability to develop custom scripts and algorithms for data analysis and modeling. Familiarity with rheological characterization techniques, such as rheometry or viscometry
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client inquiries, and ensuring smooth activity coordination. The list of functions outlined below is representative and not a complete and detailed list of tasks which may be performed by the Field Monitor
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degree in Computer Science, Math, Statistics or Engineering programs. Ph.D would be an asset. Knowledge of classification algorithms, vision-language models (VLM) and Hugging Face Transformers is an asset
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coding using R and adeptness in using RStudio for data analysis. Produce comprehensive reports and presentations in PDF and HTML formats using R Markdown. Knowledge of machine learning algorithms