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and strong skills handling numerical datasets Satellite image processing skills, for example, using gdal, SNAP, Google Earth Engine, ENVI Experience of machine learning, especially for image analysis
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interest in cell biology (DNA repair field), microsccopy and processing of large datasets Strong English language skills – both spoken and written Eager to learn innovative approaches in data analysis
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statistical and epidemiological methods Working experience with data analysis software, such as Stata, SPSS, R, or Mplus Experience in spatial and temporal data analysis using GIS, including RStudio/Python
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results via social media and public engagement. The PhD project will focus on: Development of next-generation data-driven models for protein engineering and optimisation; Validation of the developed models
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learning) to empirical data. Statistical analysis. Writing research articles for publication in peer-reviewed journals. Presenting findings at conferences and research seminars. WE REQUEST Professional
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. Analysis of biological data. Independent presentation of research results at conferences and other professional meetings. Participation in domestic and international business trips as instructed by
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of the administrative stage of the selection procedure.) advanced knowledge of academic English knowledge of secure data management and the ability to cooperate using digital technologies (MS Teams, Zoom, etc
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of the administrative stage of the selection procedure.) advanced knowledge of academic English knowledge of secure data management and the ability to cooperate using digital technologies (MS Teams, Zoom, etc
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requested before the end of the administrative stage of the selection procedure.) advanced knowledge of academic English knowledge of secure data management and the ability to cooperate using digital
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requested before the end of the administrative stage of the selection procedure.) advanced knowledge of academic English knowledge of secure data management and the ability to cooperate using digital