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Dalhousie University | Halifax Mid Harbour Nova Scotia Provincial Government, Nova Scotia | Canada | about 1 month ago
Prof. Ronald Pelot, Prof. Floris Goerlandt and Prof. Hamid Afshari in the Maritime Risk and Safety (MARS) Research Group at Dalhousie University, in further collaboration with professors from Dalhousie’s
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and educators and over 70 administrative, research and technical staff, distributed across British Columbia. Specialty training programs are offered in Cardiac Surgery, Colorectal Surgery, General
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) platforms used in machine learning, big data and artificial intelligence (AI) based applications (CPUs, GPUs, AI accelerators etc.) require high power demands with optimized power distribution networks (PDNs
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including prioritizing replacement of specimens and liaising with distributed site staff to determine their specimen needs Manage chemical and SDS inventory for Gross Anatomy teaching labs, morgue, and
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collaboration with industry partners. This work will apply optimal control theory, including machine-learning algorithms and Bayesian estimation, to coherent control of nitrogen-vacancy centers in diamond
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a training dataset for developing machine learning algorithms for increasing the consistency of quality control in two cohort studies: healthy controls and epilepsy patients. Key Responsibilities
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and distributes supplies. Demonstrates work routines or procedures to less experienced staff as designated. Carries out any other related duties as required in keeping with the qualifications and
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work independently on complex projects. Experience and Education Master’s degree in Software and Computer Engineering (French engineering schools are preferred). Experience in optimizing ML algorithms
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translation data by performing tasks, such as, assembly, compilation and summarizing of Google Analytics and other evaluation data. Organizes stock, maintains inventory, and distributes knowledge translation
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(HPC) platforms used in machine learning, big data and artificial intelligence (AI) based applications (CPUs, GPUs, AI accelerators etc.) require high power demands with optimized power distribution