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Field
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energies, as well as the material and organisational constraints that weigh on the environmental assessment processes from the point of view of the actors who implement them in the investigating departments
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perspectives shape the research process and outcomes, and will contribute to dissemination through academic publications, conferences, and non-academic outputs such as policy briefings and creative engagement
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integration of heterogeneous data sources. Experience with signal processing and statistical modeling of high-dimensional data. Strong programming skills in Python and relevant ML frameworks (PyTorch
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document will provide information of what criteria will be assessed at each stage of the recruitment process. Please note that this is a PhD level role but candidates who have submitted their thesis and are
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(MIGS) device ¿ the LIVTM - that biologically restores diseased trabecular meshwork function rather than simply bypassing it. Based on the main University of Liverpool campus, you will conduct laboratory
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and in patent applications YES/NO 11. Oral and written skills in the English language (Β1 = 1 point, Β2 = 5 points, C1 = 7.5 points, C2 = 10 points) 10 12. Availability to start in the next 3 months YES
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outputs in lidar technology and real-time wind-field reconstruction. Expert in wind turbine response analysis. HAWC2 user expert. Demonstrated expertise in data analysis and signal processing with large
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to reconstruct subsurface defects; Implement image/signal‑processing or machine‑learning pipelines for automated flaw characterisation; Collaborate with the Federal University of Rio de Janeiro, including short
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to self-identify. Persons with disabilities who anticipate needing accommodations for any part of the application process may contact, in confidence, accessibilityrequest.hr@mcgill.ca .
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GNSS signal, or large glaciers that are important to Greenland’s mass balance, to gain new knowledge of glacier, ice sheet dynamics and the coupling with solid Earth deformation. The postdoc will delve