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Field
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presentations using Power Point, R/Python and other graphics software as needed. Search literature for references to technical problems and keep informed by reading technical journal and publications. Present
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for predicting mental health outcomes of anxiety, depression and PTSD. There will be potential opportunities for methodological and/or software development and the integration of machine learning into the project
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, DLS, DSC, TGA, DMA, AFM, rheology, adhesion testing, FTIR, Raman, or comparable methods Evidence of scientific output (e.g., peer-reviewed publications, preprints, patents, software, industrial reports
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of CNS disorders. Skills required for satisfactory performance in this job include Protein purification, Confocal Microscopy Imaris analysis software techniques, UV-Visible Spectroscopy techniques; 96-Well
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display data for presentation in research conferences and for manuscript preparation; use graphics and statistical software to analyze and present data. 10% Supervise graduate students and other personnel
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attributes are encouraged to apply: Background in large-scale numerical modeling (regional planning, ecological, hydrologic climatic, or wildfire modeling). Experience with scientific software development in C
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CIIMAR - Interdisciplinary Center of Marine and Environmental Research - Uporto | Portugal | 23 days ago
techniques; - Experience with assay validation and statistical treatment of data (e.g., proficiency with software such as GraphPad Prism, OriginLab, or R); - Experience with electroanalytical methods
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research management and other data analysis software. Application Materials Apply online at https://hr.missouri.edu/job-openings , Job ID 58392. Please submit a single PDF file that includes 1) a cover
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skills and demonstrated record of peer-reviewed journal publications. • Experience managing or coordinating research workflows involving multiple software tools, datasets, or modeling and experimental
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) software application primarily supported by the UIS eRA team and the Grants suite of modules from PeopleSoft Financials and Supply Chain system supported primarily by the UIS Grants team. The Principal