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teams or pursue their own research project or vision relevant to the department’s profile. The department develops mathematical, statistical, and computational methods for the analysis of complex systems
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Sorbonne Université SIS (Sciences, Ingénierie, Santé) | Paris 05, le de France | France | 2 days ago
concentration levels. Current analytical methods, mainly based on LC-HRMS/MS, provide broad coverage but have significant limitations, particularly in the analysis of complex mixtures and the discrimination
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: Develop, evaluate and implement complex software Analyze existing software for new complex systems and algorithms Perform complex analysis, tests and debugging Analyze the design and use of complex data
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analysis from cryo-EM integrated with ligand selection, which will be applicable to other dynamic protein complexes. References: [1] Valimehr S, Sethi A, Shukla M, Bhattacharyya S, Kazemi M, Rouiller I
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State University of New York University at Albany | Albany, New York | United States | about 7 hours ago
implementation. Hands-On Business Analysis. Personally perform business analysis on complex, high-priority, or cross-functional initiatives. Conduct requirements elicitation, process modeling, gap analysis, and
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software Analyze software for new, moderately complex systems and algorithms Perform data analysis, test and debug software Develop, implement and execute plans and tests Design and apply basic data sources
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on complex problems involving the development of new theories and methodologies. The research will be largely focused on the development of predictive computational tools for the analysis of the spatial spread
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of motif-recognizing proteins. In parallel, the candidate will develop computational approaches to identify indirect interactions based on prior biological knowledge and to infer higher-order complex
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and analyze complex research problems using a multitude of computational approaches (30%) Develop and deploy research-related new bioinformatic pipelines for the processing, quality control, analysis
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modelling, analysis of complex dynamical systems, simulation, analysis of large-scale datasets with machine learning methods, and software development are beneficial Good organisational skills and ability