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PhD Position on Machine Learning Detection of Positive Tipping Points in the Clean Energy Transition
Positive tipping points in the innovation and diffusion of clean energy technologies can greatly accelerate progress towards a net-zero energy system. Yet, their emergence and timing remain difficult
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-climate analytics, social vulnerability modelling, and participatory engagement with local authorities, including Loughborough (UK), to co-design targeted interventions and translate findings into open
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an interdisciplinary research team and are eager to contribute to the understanding of how plants interact with other organisms, then the Plant Hormone Biology group, which is part of the Swammerdam Institute for Life
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solid mechanics, sensing and signal processing, and robotics? If so, you might be an excellent candidate. Information The demand for autonomous robots capable of physically interacting with the world in
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, 2026 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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PhD Position on Machine Learning Detection of Positive Tipping Points in the Clean Energy Transition
in the innovation and diffusion of clean energy technologies can greatly accelerate progress towards a net-zero energy system. Yet, their emergence and timing remain difficult to anticipate and manage
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part of human tactile interactions with the environment involves soft or complex materials (e.g. bundles of fibers), and multi-finger contacts (e.g. pinching) for which almost nothing is known. First, we
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scale-up - Physicochemical characterization of the encapsulation matrices - Evaluation of the method on the vaccines' biophysical attributes - Interaction with national and international partners - Data
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category of Initial Stage Researcher, of the FCiências.ID Scientific Research Career, within the scope of the project DYNAMICTRIO: Feedback between population dynamics and evolution of interactions in a tri
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small molecule interactions with DNA, RNA and associated proteins. We are exploiting our findings from such methods to design bifunctional small molecules that target the genome and chromatin-associated