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. Proficiency in geospatial, 3D, and image-processing software for data collection and analysis. Experience working with GIS, QField, total stations, geophysical equipment, and drones. Experience in stratigraphic
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architectures, and on-device inference on edge-compute platforms. Demonstrated analytical problem-solving through experimental design, critical quantitative and qualitative data analysis, and validation
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. The research unit Intelligent Systems (IS) in Computer Science is focused on the development of Data Science, Pattern Recognition and Machine Learning algorithms for interdisciplinary data analysis. For more
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testing, to achieve sub-second cycle times for robotic systems. 3. Demonstrated analytical problem-solving through experimental design, critical quantitative and qualitative data analysis, and validation
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, climate physics, geosciences or a related field; excellent skills in scientific programming and numerical / statistical analysis of simulated and observed data; a versatile mind and openness to work on a
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language and technology co-evolve. Many current language technologies bear the mark of a legacy that privileges text over talk, information over interaction, and algorithms over agency. In Futures
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scientific programming and numerical / statistical analysis of simulated and observed data. Candidates should be able to demonstrate motivation and a strong eagerness to learn, and have the ability to both
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bottom-up approaches for investigating the mechanisms of chaperone-mediated protein folding. Your responsibilities will include: conducting independent experimental work and perform data analysis
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. Tracking methane cycling—balancing production vs. consumption and tracing carbon substrate sources—remains challenging. We will integrate methane clumped-isotope analysis with carbon and hydrogen isotope
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management? Your work will combine theoretical analysis with real-world case studies to identify promising institutional approaches. You’ll evaluate current governance mechanisms, financial instruments, and