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Field
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theories and numerical methods, carrying out and analysing field and remote sensing observations and conducting and analysing numerical model simulations. The PhD position is funded by the German Research
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quantum computing as well as experience with cryogenics, signal delivery, microfabrication, materials optimization, and microwave control are highly preferred qualifications Please feel free to apply
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for the contactless detection of plant conditions. The position is advertised as part of the international joint project ‘MULTIFUSE: Advanced Multimodal Sensing and Data Fusion for Early Digital Detection of Plant
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research in the areas of forest planning, forest remote sensing, forest inventory and sampling, forest mathematical statistics and landscape studies. The department is also responsible for the implementation
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for nutrients and algal toxins, and household survey data. The additional integration of remote sensing data is also highly desirable. The postdoctoral fellow will pursue established questions, and will also have
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, institutional analysis, and resource-use conflicts. The Departments of Human Geography, Physical Geography and Cartography, GIS and Remote Sensing are closely linked with the Centre for Biodiversity and
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/ML for (a) human-autonomy teaming, (b) autonomous navigation & control, (c) supply-chain optimization, (d) remote sensing, (e) cybersecurity in autonomous aviation. These pillars align with AAE’s
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supervisor RESEARCH AREAS Doctorate projects are performed within one of the various research groups: Physics: 1. Environmental Physics Remote Sensing Atmospheric Physics and Chemistry Oceanography Terrestrial
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Challenges: What are the issues with installing rooftop solar on First Nations housing (like funding, approvals, and maintenance)? How can we help communities feel ownership of these projects? Training and
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, including establishing and operating field measurements Experience with remotely sensed data and data sources Competence and experience in hydrological, glaciological or geophysical modelling Strong