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, policy, energy conversion, new business models, techno-economic and life cycle analyses, machine learning, optimization, AI, intelligent networks, among others. The PDF will join a project in collaboration
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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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one postdoctoral fellow to join our dynamic team in the AI in Medicine Lab (www.aimlab.ca). This position is based in the School of Biomedical Engineering (SBME). The successful candidate will work
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contribute to the collaborative TQT research community. Principal Investigator: Thomas Jennewein Project Name: Interfaces for Satellite based Quantum Channels Research Area: Sensing and Communication Role
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postdoctoral fellow to join our dynamic team in the AI in Medicine Lab (www.aimlab.ca). This position is based in the School of Biomedical Engineering. The successful candidate will work in the AI in Medicine
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functional genomics, CRISPR-based screening, or single-cell technologies. Hands-on experience with next-generation sequencing library prep and tissue culture models. Demonstrated ability to conduct independent
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proteome platform, clinical specimens and diverse patient-derived model systems. You will also have the opportunity to supervise graduate and undergraduate students, gain leadership experience in
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(renewable based on performance and funding) Project Overview: We have identified a novel gene involved in neurodevelopmental disorders, in collaboration with clinicians and a patient association. You will
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environmental data Processing and analyzing large-scale remote sensing datasets from UAV, satellite, and ground-based sensors Leveraging artificial intelligence, e.g. machine learning, reinforcement learning
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understood, modeled, and ultimately reversed or rebuilt using bioengineering and synthetic biology approaches. The successful candidate will: Investigate mechanisms of T-cell development, aging, and thymic