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for a DDLS PhD position in Data-driven precision medicine and diagnostics at the Department of Information Technology, Uppsala University. The Department of Information Technology holds a leading position
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computational models and data analysis code to process large, multimodal behavioral datasets using both traditional methods (e.g., factor analysis) as well as more modern approaches (e.g., deep learning
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strategies. Proficiency in statistical programming languages (R, Python, or Stata) with verifiable experience in panel data analysis. Good communication abilities for effective knowledge dissemination
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for data analysis and experiment automation (Python preferred) Excellent English communication skills (written and verbal) Demonstrated ability to work in interdisciplinary and collaborative environments
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Holistic Economic Modelling for Disaster Resilience Decision-making (CSIRO Industry Phd Scholarship)
economics (preferably with a background in environmental economics and cost-benefit analysis), data science, or a related field, equivalent to the completion of a bachelor degree preferably with First/Second
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This project will involve epidemiologic analysis of FluTracking and published data to explore how self-testing and vaccination behaviour have evolved over time and characterise interventions and
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), indicating SISI PhD Studentship in the email subject. If you require further information about the application process, please contact the below: PhD in Management and Marketing (business.phd.mgmt-mktg
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Characterisation" "Data Science and Machine Learning in Materials" "Plastics Recycling and Circular Economy" How to apply: https://uom.link/pgr-apply-2425 How many positions: 1 This 3.5 year PhD is open to UK
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Data Protection Regulation (GDPR)). By submitting your application, you confirm that you have acknowledged the above data protection information of TUM. Kontakt: Chair for Numerical Analysis, Prof. Dr
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description and tasks The PhD student will carry out research in the analysis of Partial Differential Equations as part of a project supervised by Sebastian Throm. The subject area of the announced position