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Field
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and Atlas Mapping. The position is one of four in a coordinated cluster hire - alongside colleagues in behavioral neuroscience, machine learning and AI, and research software engineering - studying
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discipline Strong quantitative data analysis skills Experience analyzing large administrative or longitudinal datasets Proficiency in statistical software such as Stata, R, or SAS Excellent written
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visual neuroscience laboratories; Dedicated simulation and modelling softwares for electromagnetic and optical design; Access to dedicated cleanroom fabrication facilities; A collaborative research
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and study designs to conduct rigorous analyses of complex healthcare studies. Develop and implement advanced statistical approaches using software such as SAS, R, or Stata. Contribute to grant
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biological processes. Our open-source CellProfiler software, cited in over 23,000 papers, has enabled discoveries leading to several clinical trials, including two successful in cancer so far. We also
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Qualifications Demonstrate proficiency in statistical analysis and IRT software, including (but not limited to) SAS and R. Have strong knowledge and applied experience in psychometric principles, including item
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candidate will also bring experience in 3D printer customization, software/hardware integration, and CAD modeling skills. Responsibilities Minimum Qualifications Preferences Type Benefited Staff Special
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, including the Polydiv2 and PI3 networks. About the role We are looking for a highly motivated PhD student to study the impact of genome duplication on volvocine algae, with a particular focus on
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administrative or longitudinal datasets Proficiency in statistical software such as Stata, R, or SAS Excellent written communication skills, particularly technical writing Ability to manage multiple tasks
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urban transitions and decision-making under uncertainty and in close interaction with the Software Engineering group of the Computer Science Department. Are you motivated to take a step towards a