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care networks; (3) supporting empirical data collection (interviews, case studies) with hospitals and public authorities; (4) contributing to analysis and drafting of research, evaluation, and policy
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physics analysis community. Demonstrated experience developing training materials, documentation, or instructional resources for scientific software, and a track record of organizing or contributing
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) ACCA or equivalent, CPA an advantage FP&A-related certifications Technical Skills Advanced Excel (PivotTables, VLOOKUP/XLOOKUP, INDEX-MATCH, Power Query, macros). Financial Modeling Data Analysis
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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | 10 days ago
at scientific meetings and conferences. References: [1] Preda C, Grimonprez Q, Vandewalle V. Categorical Functional Data Analysis. The cfda R Package. Mathematics. 2021; 9(23):3074. https://doi.org/10.3390
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models for the analysis of complex longitudinal data with repeated measurements, especially in neuroimaging and interventional neuroscience. Key topics include: linear and nonlinear mixed models with fixed
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application of the Micro-Data Infrastructure (MDI), a cutting-edge platform designed to enable cross-country analysis of firm-level productivity using confidential micro-data. The position combines data work
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-945b7d27513b JOB SUMMARY: Supports the development, reconciliation, and analysis of payroll and financial data across business systems. This role will focus on ensuring data accuracy, consistency, and usability
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; mentorship from experienced researchers; opportunity to develop single-cell analysis techniques; support for international collaborations; For information: Dr. hab. Dominika Włoch-Salamon, Prof. UJ
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, bioinformatics, statistical analysis, and data visualization. The Postdoctoral Research Scientist is expected to perform the aforementioned tasks under the guidance of the PI, provide preliminary analyses
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MRI, and photon-counting CT – provide unprecedented information about tumour biology and treatment response, but translating this into clinical practice requires fast, robust, and automated analysis