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Internal Number: 6397400 Postdoctoral Scholar - Voting Law/Data Analysis- Goldman School of Public Policy Position overview Position title: POSTDOC-EMPLOYEE Salary range: The UC postdoc salary scales set the
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Familiarity with statistical analysis and interpretation of experimental data Experience in scientific writing, especially for publications and third-party funding applications Proficient English and, ideally
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conceive state-of-the-art imaging technologies and data analysis methods for high throughput quantification of plant traits in response to various stresses and cropping systems. This role is critical
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contribute to the development of an automated and renewable DNA computing prototype. The role encompasses both wet-lab and in silico work, including sequence design, data analysis, experimental planning, and
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+ imaging, data analysis and neuronal circuits. Requirement PhD in neuroscience, computer science or a related field High motivation for explorative research Experience in neurophysiology (electrophysiology
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skills in programming, modelling, and data analysis. Experience in formulating and solving mathematical optimization problems, as well as working on real-world demonstrators, is an asset. Proficiency in
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including but not limited to microbial ecology, biochemistry, genomics, biostatistics, molecular biology, microbiology, evolutionary biology. Familiarity with metagenomics data analysis, microbial
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in cells and using an age-dependent murine disease model to analyze neuropathogenic mechanisms. ● Perform POWV experiments and data analysis following in primary cells and cell lines in BSL2/BSL3
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, troubleshooting and routine upkeep Develop, optimize and validate sample-preparation and data-analysis workflows for spatial metabolomics, lipidomics and multimodal studies Act as contact for internal and external
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in cells and using an age-dependent murine disease model to analyze neuropathogenic mechanisms. ● Perform POWV experiments and data analysis following in primary cells and cell lines in BSL2/BSL3