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, and health system implementation. Leverages provincial and federal funding programs and public-private innovation models to improve the value proposition for industry and amplify impact. Leads
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. Design and implement novel approaches for operating room and surgical procedure understanding, including scene graphs, graph-based models, and other structured representations. Develop machine learning
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students. Working Conditions: This position will be based in Cambridge, MA. Hybrid workplace models in place at DCE with a minimum of 2 days per week on campus. DCE or department may adjust these as
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, gained through academic research, internships, professional work, or substantial personal projects Experience with machine-learning pipelines, including data preparation, model training or inference, and
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data) will help validate observations and refine predictive models. Automated monitoring tools (scripts, dashboards, alerts) incorporating machine learning algorithms or statistical methods will be
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, and grid operators will exchange data in the future. At the Smart Mobility Lab, we view mobility as a system: we work with real operational data and model the interplay between the actors. Join the
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transitioning military members to apply. You will: Use accepted methods and techniques, design, develop, and implement of RF propagation models including environmental effects such as space weather and
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try again. UiO/Anders Lien 13th October 2026 Languages English English English Postdoctoral Research Fellow position in remote sensing and modeling of the cryosphere Apply for this job See advertisement
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postdoctoral researcher to join an interdisciplinary team developing deep learning models for antimicrobial resistance (AMR) detection directly from MALDI-TOF mass spectrometry data. The project is funded
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to generate novel products and characterize their properties and performance using instrumental and sensory analyses. To provide robust scientific insights, this position will also carry out modeling and