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Field
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required. Research Integration and Testing: 20% Integrate research methods, algorithms, software, sensing systems, and emerging technologies into laboratory, simulation, and field-based research environments
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or equivalent Skills/Qualifications Technical Skills: Hydrological analysis and modeling. Spatial analysis using GIS. GIS software (QGIS, ArcGIS). Hydrological modeling software. Processing and analysis
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of this position as a platform to build skills toward taking on a research professorship in the future. Willingness to move to and live in Denmark. Working knowledge of econometric software (such as Stata or R) and
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mechanics, finite element modeling, and multi-scale biomechanics who is motivated to work at the interface of cardiac mechanobiology, machine learning, and scientific software development. You will be part of
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analysis software or programming language (R, Python, Stata). Experience in comparative analysis. Ability to integrate into a project-related work team Ability to interact with academic stakeholders in
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datalab (github.com/datalab-org) software for managing and learning from experimental data. The following skills are desired: 1. Solid-state chemistry experience, including synthesis and characterization
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National Energy Technology Laboratory (NETL) | Pittsburgh, Pennsylvania | United States | about 19 hours ago
on the development of open-source IDP software that facilitates the extraction of valuable data from scanned records that describe energy infrastructure such wells and reservoirs. The selected participant will conduct
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | 20 days ago
-borne, and space instruments; however, the hardware, firmware, and software approaches developed have diverse applications including space-based interferometry and advanced radar systems. The successful
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to SRC kinematics. Develop, test, document, and maintain scientific software for modeling, global fitting, uncertainty quantification, and data interpretation. Explore applications of the developed
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international publications in peer-reviewed journals. Knowledge of relevant AI software. Ability to work in an interdisciplinary team. Leadership skills and ability to work in a team. Diligent, independent work