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Field
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automating the detection of individual tree species in forests using deep learning. Specifically, you will: Focus on the application of deep learning techniques in Python to process spatial and aerial data
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on Facebook. If you have any questions regarding the application process, please feel free to contact us at makerspace@sph.ethz.ch . We would like to point out that the pre-selection is carried out by
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are currently evaluating the platform’s effectiveness through a randomized controlled trial and are in the process of founding a non-profit start-up to ensure the sustainable impact of Path2Work. The project is
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the platform’s effectiveness through a randomized controlled trial and are in the process of founding a non-profit start-up to ensure the sustainable impact of Path2Work. The project is being developed in close
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this process who will provide you with guidance for the implementation, but independent work, in general, is required and appreciated. The workload consists of up to 15 hours per week during the semester. We
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To submit an application, you need a written confirmation from the research institution. At UZH, you will receive the confirmation letter via the approval process in AVA, the UZH third-party funding
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molecular processes occurring within and between cells to explore molecular mechanisms across scales in biology. We encourage applicants who combine experimental and theoretical/computational approaches
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profile You are board certified in Anesthesiology, Internal Medicine, Surgery or Emergency Medicine and you have extensive and long-standing experience in emergency medicine. You have demonstrated expertise
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grades) two potential references, and letters of reference or recommendation (only if available, e.g. from internships, no need to request new ones at this stage of the application process) Please note
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subsurface mass and energy transfer processes as well as related power plant processes. We conduct both fundamental and applied research to address a wide range of societal concerns related to geothermal