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models (rodent handling/surgery experience a plus). ● Familiarity with quantitative/computational approaches (e.g., R, Python, image analysis, statistics) is a plus but not required. ● Ability
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, membrane integrity) Develop or adapt image analysis and quantification pipelines with AI support to handle screen-scale data Follow up on screening hits to identify their molecular target or mechanism
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monitoring and quantitative analysis of changes in fluorescence signals. The results obtained may directly contribute to the development of more effective and safer targeted therapeutic strategies. A candidate
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monitoring and quantitative analysis of changes in fluorescence signals. The results obtained may directly contribute to the development of more effective and safer targeted therapeutic strategies. A candidate
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laboratory experimentation with advanced characterization techniques and data analysis to study water-rock interactions, crystallization processes and metal immobilization. Main responsibilities include
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | about 8 hours ago
interferometry and Scanning White Light Interferometry. Software development opportunities include creating and refining analysis tools to integrate metrology data from multiple measurement systems, developing
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democracies justify departures from market principles. Component 2 — Systematic Evidence Review on Market Competition: systematic literature review and meta-analysis of evidence on competitive dynamics in
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. The successful candidate will also participate in data analysis, dissemination of research results through scientific publications and conferences, and technology transfer activities. Design and fabricate three
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InLife Institute of Animal Reproduction and Food Research, Polish Academy of Sciences | Poland | 13 days ago
experienced fish - in both females and males. The project also includes the development of a multi-tissue sncRNA and mRNA atlas, analysis of the expression of sncRNA target genes within the reproductive axis
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cells, and their spatial organization within the tumor microenvironment. We use spatial transcriptomics and spatial proteomics, advanced image analysis, and computational approaches to investigate