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are designing new artificial intelligence algorithms for a self-driving car. You seek out diverse voices to highlight different experiences that uphold our commitment to equity and inclusion. Outside of long-form
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software and languages, such as SAS/R/Stata, to explore data validity, develop research variables/algorithms/flags, create analytic cohorts for each study, create sub-cohorts for trainee-led analyses, and
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will also have the opportunity to contribute to algorithm development, software architecture design, and software implementation. The ideal applicant for this position will have several characteristics
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with expertise in biology, biotechnology, computer science, microscopy and bio-engineering that is developing new microscopy hardware and new computational algorithms for the encoding and decoding
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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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. Familiarity with omics approaches, including genomic, transcriptomic, and metabolomic analyses. Experience with developing and applying machine learning algorithms to analyze biological data. Application
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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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Institut national de la recherche scientifique (INRS) | Varennes, Quebec | Canada | about 20 hours ago
. 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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will also have the opportunity to contribute to algorithm development, software architecture design, and software implementation. The ideal applicant for this position will have several characteristics
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the following fields: Computer Architecture Algorithms and Optimization Health Research Human-Computer Interaction Machine Learning and ML Foundations Machine Perception Natural Language Processing (including