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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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record of developing and implementing novel machine learning (ML) and deep learning (DL) algorithms in healthcare, exercise sciences, or other spaces. Extensive experience in utilizing ML libraries such as
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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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: Machine learning/deep learning model development for biomolecular data analyses and prediction Research Area: Data science and computational chemistry Required Skills: A Ph.D. in relevant field within
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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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developments in the areas of minimally invasive joint replacement, improved bone healing, advanced techniques in spinal surgery, innovative arthroscopic techniques, and improved biomaterials and implants
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, and explainability; developing unbiased algorithms and responsible data use; addressing the social impacts of AI and IT-induced biases; equitable compensation policies; combating labour discrimination
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Institut national de la recherche scientifique (INRS) | Varennes, Quebec | Canada | about 21 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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to present complex data in an accessible and actionable manner. Develop and apply machine learning algorithms to analyze data and extract meaningful insights. Implement real time monitoring and processing