65 machine-learning "https:" "https:" "CMU Portugal Program FCT" Fellowship positions in Canada
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- University of British Columbia
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annum At UBC, we believe that attracting and sustaining a diverse workforce is key to the successful pursuit of excellence in research, innovation, and learning for all faculty, staff and students. Our
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mission: concept, scientific objectives and data products. Bull. Amer. Meteor. Soc., BAMS-D-23-0309.1, https://doi.org/10.1175/BAMS-D-23-0309.1, in press. The HAWC Science Development Team (SDT) is jointly
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STLHE is proud of its valued partnership with D2L in recognizing excellence and innovation in teaching and learning through this national award. Together, we’ve celebrated educators who are making a
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at McGill (https://tsi.mcgill.ca/index.php?page=faculty ). Research topics include (but are not limited to) astrophysics, cosmology, astrobiology, geophysics, life in extreme environments, and the search
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that attracting and sustaining a diverse workforce is key to the successful pursuit of excellence in research, innovation, and learning for all faculty, staff and students. Our commitment to employment equity helps
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development, mechanistic experiments, and monitoring. For more information, see https://sentinels.hakai.org . Focal project - We are seeking a postdoctoral fellow to join a collaborative, community-driven
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for this position is $60,000-$80,000 per annum. At UBC, we believe that attracting and sustaining a diverse workforce is key to the successful pursuit of excellence in research, innovation, and learning for all
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lead the development of the new proposed NC-ARPES technique and will also have the opportunity to propose new and independent investigations with the state-of-the-art TR-ARPES machine at ALLS
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(thedonnellycentre.utoronto.ca ). Required Qualifications: We are looking for postdocs that have excellent molecular biology skills and/or a strong computational background including machine learning approaches. Candidates should
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cardiac precision medicine through artificial intelligence and machine learning. The postdoctoral fellow will contribute to the development of a comprehensive, multi-modal framework for predicting and