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; Proficiency in scientific programming (e.g. Python, MATLAB) and the application of advanced data analysis and visualization methods; Good command of Polish and English, enabling effective participation in
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organization; Demonstrated experience preparing reports, conducting variance analysis, and supporting budget development cycles; Experience working with financial data tools and spreadsheets (e.g., Excel
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performing analysis. Facilitates and promotes a research project by providing scientific or intellectual information. Trains and mentors laboratory personnel. Performs other related work as needed. Minimum
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initiatives, retention analysis, and operational decision-making. Oversee the development of dashboards, reports, and data visualizations for university leadership. Collaborate with Institutional Research
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various data analysis tasks. Your work will focus on carrying out data preprocessing, data wrangling, and carrying out analyses using R (and sometimes Python). Example projects you will be working
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sample preparation for structural proteomics, i.e. wet lab work and mass spectrometry, followed by data analysis and visualization of data for users of the infrastructure. We envision that you will start
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clean-up and/or analysis, amongst others. The work is part of a very busy, fast-paced clinical environment, akin to polyclinics or hospitals. For further details, please visit our study website: https
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combustion efficiency, ozone formation potential, and chemical reactivity within plumes. Comparative analysis with satellite data: Compare in situ observations with satellite measurements (IASI-NG, EarthCARE
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mapping. Analysis & Dissemination (30%) Analyze implementation data, including (a) scoping review data, (b) network mapping and value chain data and (c) qualitative data from in-depth interviews and journey
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reports, and develop clear presentations and materials for leadership, stakeholders, and external audiences. Attention to detail and the ability to translate complex information into concise written, visual