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Field
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integrity and develop new ways to assess and monitor these impacts. Working at the interface of climate science, geotechnical engineering, remote sensing and critical asset management you will integrate
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, Skills & Abilities Proficiency with Google Earth Engine, ArcGIS Pro, RStudio Preferred Qualifications PhD in marine ecology/remote sensing Applicant instructions: Applicants should be prepared to upload
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transmission and processing for remote actuation. The proposal targets two interdependent challenges: the inherent complexity of end-to-end information flow spanning sensing, computation, communication, and
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, electrical engineering, computer science, physics, meteorology, or related fields. A strong interest in solar energy and the urban environment is essential, combined with solid skills in remote sensing, signal
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adoption. Tiny internal defects, process variability, and complex geometries can make quality assurance slow, expensive, or even impossible with traditional inspection methods. This PhD project, part of a
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under different climate and nutrient input scenarios. Within IOW, the PhD candidate will collaborate with IOW’s Department of Marine Observations Integrated Optical Remote Sensing Research Group
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Master’s degree in machine learning, computer science, or a forest-related field with a focus on remote sensing Experience with deep learning The following experiences and skills will be emphasized
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learning, computer science, or a forest-related field with a focus on remote sensing Experience with deep learning The following experiences and skills will be emphasized: Experience working with data from
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, MODFLOW, SWAT, PHREEQC), geographic information systems (ArcGIS, QGIS), remote sensing, and scientific writing. Excellent communication skills in English (spoken and written). Ability to work independently
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the field of optics. The research group conducts applied research in fields such as remote sensing, communications technology, autonomous platforms, power electronics, energy systems and advanced control