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are excited to work across disciplines and help advance this emerging field. Job Description Primary Duties & Responsibilities: For further details please visit https://caolab.wustl.edu/ . Information on being
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simulation and AI-supported data analysis are central tools. The work is carried out at the Department of Fibre and Polymer Technology and in collaboration with FOI and industrial partners. Qualifications
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; or sustainability transitions. Research Methods: Demonstrate experience in designing and conducting rigorous qualitative and quantitative research, including the collection and analysis of primary and secondary data
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landscapes. The research will cover the following tasks: Critical review of current compliance levels in ESA projects: data analysis of the outcomes of project reviews conducted since the introduction
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. For additional information please see the Non-Discrimination Statement at the following web address: http://uhr.rutgers.edu/non-discrimination-statement
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(PIT-tags, hydrophones, geophones, etc.). 2) Modeling and data analysis: - Proficiency in GIS tools (QGIS, ArcGIS) and hydraulic modeling software (HEC-RAS, TELEMAC, Mike). - Advanced programming (Python
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modeling or geospatial/temporal data analysis Causal inference ● Strong programming skills in Python and experience with PyTorch, required to have experience developing code with a team through collaborative
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biodiversity research? LUT University is hiring a post-doctoral researcher to develop analysis methods for environmental and wildlife data, with applications in biodiversity monitoring and sustainable resource
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following areas is desirable: collection and analysis of dense nodal seismic datasets, ambient noise tomography, high-performance computing, machine learning applications in observational seismology, and
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-generation sequencing data analysis, including RNA-seq or single-cell RNA-seq. Proficiency in at least one scripting or programming language used in genomics (R, Python, or Bash/Unix). Experience with primary