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research, preferably in post-secondary or large nonprofit environments. Proven ability to identify and evaluate major gift prospects. Strong experience with data analytics, portfolio management, and advanced
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establishment environment is preferred. Knowledge, Skills, & Abilities: Ability to develop and work with large clinical (e. g. registry data), research or administrative databases. Ability to effectively use MS
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of Physics Position Overview Development and production of large-scale, custom-designed digital signal processing readout systems for the ATLAS Liquid Argon Calorimeter Upgrade at CERN. Creating and
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Council of Canada). The research will focus on applying, developing, and implementing novel statistical methods for causal inference, integrative data analysis, and machine learning with large
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the activities of the institution. Any procedures or data recorded must be accurate and must accurately reflect the work performed. Strict confidentiality of all study participants must be adhered to. All
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, distortions, scanner-related issues, and consistency across sites or time points. Researching and implementing or containerizing pipelines that can perform quantitative quality control on large data volumes
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embrace the complexity of digital health implementation and data-driven predictive modelling in low-resource settings with passion, resilience, and lots of creativity. Find yourself in new areas of inquiry
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Nature Careers | Northern British Columbia Fort Nelson, British Columbia | Canada | about 2 months ago
, or data analysis is highly desirable and would be considered a valuable asset. Additional skills that would strengthen a candidate’s application include: experience with whole-genome or exome sequencing
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, or data analysis is highly desirable and would be considered a valuable asset. Additional skills that would strengthen a candidate’s application include: experience with whole-genome or exome sequencing
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statistics, data management). Comfort handling large and diverse datasets. Strong coding skills (R and/or Python), with experience using a high-performance computing platform (e.g., Digital Research Alliance