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convection. The objective is to develop reduced but realistic models of cumulus life cycles that may be applied toward cumulus parameterization and/or machine-learning algorithms for predicting short-term
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or machine learning Experience with Swift development and/or strong willingness to work within the Apple development ecosystem Experience in edge AI, model optimization, or deployment of AI models
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monitoring. Familiarity with computational image analysis, scripting (Python, MATLAB), or machine learning–based image workflows. Experience with method development, imaging assay optimization, or pipeline
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science, machine learning or a related field. Strong experience working with clinical, biomedical, genetic, electronic health record, or health administrative data. Experience with large language models
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sciences.Tackling key problems in biology will require scientists trained in areas such as chemistry, physics, applied mathematics, computer science, and engineering. Proposals that include deep or machine learning
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scientific meetings, awards and distinctions, and strong letters of reference. Candidates should demonstrate evidence of research independence, interdisciplinary collaboration, and the potential to secure
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until the position is filled. This is a unionized position under the Association of McGill University Research Employees (AMURE). Please consult their website for collective agreement https://www.aerum
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the AMURE/PSAC - Postdoctoral Fellows collective agreement. https://www.mcgill.ca/hr/files/hr/collective_agreement_-_post_docs_-_2023-2026_-_final_-_with_signture.pdf . Before applying, please note that to
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research, innovation, and learning for all faculty, staff and students. Our commitment to employment equity helps achieve inclusion and fairness, brings rich diversity to UBC as a workplace, and creates the
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Kennedyallee 50 53175 Bonn Germany Helpdesk Please pay attention to the FAQ section of the DAAD website: https://www.daad.de/en/study-and-research-in-germany/scholarships/postdoctoral-researchers-international