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Field
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supervision. Gathering qualitative and quantitative data. Supporting data analysis. Communicating with stakeholders such as PhD candidates and supervisors. Supporting communication with the broader community
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in modelling, simulation, or data analysis of energy systems Knowledge of machine learning or artificial intelligence methods Programming experience (e.g., Python, MATLAB or similar tools) Experience
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Researcher will carry out research activities within the scope of the project, with a focus on plant biology. These activities will include advanced laboratory work and the analysis and interpretation of plant
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, optimisation and validation of analytical methodologies using liquid chromatography coupled with mass spectrometry for the determination of contaminants in food matrices (e.g. honey and hive products), analysis
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heterogeneity in malignant brain tumors. The primary responsibilities for this position will be focused on analysis of single-cell transcriptomic and epigenomic datasets with the goal of identifying cell types
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, land use ethics, adaptive use studio, building documentation, and analysis, cultural resource management/public policies in preservation, preservation technology, and American architectural history
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, including machine learning and language technologies, for the integration and analysis of clinical, advanced data harmonisation, and next generation research infrastructures. You will contribute to research
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Basic data analysis and processing skills Statistical analysis knowledge and expertise MS Excel, MS Access, SQL, SAS Python, web-scraping and NLP Any programming experience is a plus Willingness to learn
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maintain robust hardware–software interfaces for sensors, actuators, and communication systems. You will contribute to system validation, simulation, benchmarking, and performance analysis in clinically
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the scientific field of the competition. c) Previous experience in statistical analysis of time series and mixed models. d) Previous experience in processing and analysing physiological data (electrodermal