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creative thinking to develop new methods and tools. 4. Research Ethics: • Deep understanding of ethical principles in research and commitment to academic integrity. 5. Readiness for Professional Development
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methods and tools. 4. Research Ethics: • Deep understanding of ethical principles in research and commitment to academic integrity. 5. Readiness for Professional Development: • Readiness to participate in
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machine learning Data analysis and advanced statistics Economic and social transformations related to digitization Experince when it comes to programming (preferably Phyton) and in the use of modern tools
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learning Data analysis and advanced statistics Economic and social transformations related to digitization Experince when it comes to programming (preferably Phyton) and in the use of modern tools Capacity
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-stage researchers in advanced data analytics, causal inference and machine learning related to health policy topics. Specifically, it is training them to evaluate real-world policy impacts. Focusing