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insights into subglacial processes using sediment archives, glacier-front sampling, geophysical surveying, and physical process studies. In addition, the position includes 20% project management to support
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Learning, e.g., Human-centric Learning from Demonstrations, Shared Autonomy, etc. Robotics and automation using sustainable materials and process workflows Agentic systems for robotics and control Energy
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8 Apr 2026 Job Information Organisation/Company Universitat de Girona Department Servei de Recursos Humans Research Field Computer science Researcher Profile Recognised Researcher (R2) Positions PhD
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experience with process modeling with Aspen Plus Demonstrated experience with statistical analysis (i.e. sensitivity or uncertainty) PhD degree in chemical engineering or related field Preferred Qualifications
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CANDIDATES ONLY About Us The applicant will join the Imaging Machine learning And Genetics in Neurodevelopment (IMAGINE) lab, in the Research Department of Biomedical Computing. We are a highly collaborative
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motivation to carry out the project and teach at the department. The hiring process will include an interview. Applicants must have a PhD degree in human geography or equivalent. Only candidates who received
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Learning, e.g., Human-centric Learning from Demonstrations, Shared Autonomy, etc. Robotics and automation using sustainable materials and process workflows Agentic systems for robotics and control Energy
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with process modeling with Aspen Plus Demonstrated experience with doing statistical analysis (ie sensitivity or uncertainty) PhD degree in chemical engineering or related field Preferred Qualifications
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focus on sediments and meltwater and their role in ice flow. The position is broad in scope and seeks to generate insights into subglacial processes using sediment archives, glacier-front sampling
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | 3 months ago
. Description: This project involves the development of new technologies for ultraviolet (UV) instrumentation and systems. Successful candidates will utilize thin-film processing and nanoscale interface