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Worldwide R&D Projects. Previous experience in one or preferably more topics from these areas is considered a merit: - Multi-modal data processing for decision-making in natural environments - Terrain
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related job discipline. Certifications: --- Preferred Qualifications Education: PhD in a relevant field. Technical Skills or Knowledge: Proficiency in one or more compiled programming languages (e.g., C
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research project on natural hydrogen resources and underground hydrogen storage. We are seeking a motivated PhD candidate in Mining and Rock Engineering to contribute to interdisciplinary research spanning
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technologies generate large volumes of heterogeneous data and often require advanced technical expertise to operate, configure, and interpret. This PhD project will explore how Large Language Models, Natural Language
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, which is determined by the number of years post PhD, and benefits can be found at https://postdoc.hms.harvard.edu/guidelines . With this appointment, you are represented by the Harvard Academic Workers
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University of Natural Resources and Life Sciences, Vienna (BOKU) | Vienna, Virginia | United States | about 2 months ago
cooperation and transdisciplinary research. Important topics are climate change and global change, analysis and modelling of spatio-temporal (environmental) processes, natural hazards and risks, modelling
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production processes related to both mining and civil engineering. Project description For this PhD position, the research will focus on the development of engineered underground hydrogen storage in lined rock
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. Application procedure The application should be written in English be attached as PDF-files, as below. Maximum size for each file is 40 MB. Please note that the system does not support Zip files. CV A
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-facing web GIS dashboard. Investigate the forest, landscape, and climate conditions that drive storm susceptibility, using major windstorms as natural experiments and interpretable machine-/deep-learning
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to support dynamic digital twin simulations. Multimodal Data & Sensor Fusion: Implement or accelerate processing and inference algorithms for real-time multimodal data, natural language, signal, and image