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Basel Atieh Dasous is a Research Assistant at the University of Southern Denmark. He specializes in machine learning applications, particularly in quantitative size stability metrics for long-acting suspensions. His contributions to the field are demonstrated through various collaborative research efforts, as seen in his work on peer-reviewed journal articles. Basel actively engages in research related to prediction and performance metrics, aiming to enhance the understanding of service usage and related insights in his projects. With a persistent focus on innovative methodologies and collaborative studies, he has built a robust profile in the academic and research community.
University of Southern Denmark • Odense, Denmark
Assisting in research activities focusing on machine learning and quantitative metrics.
Requirements are standardized for English-taught Master's programs across Science, Engineering, and Social Science departments. Some programs may require a higher GPA for restricted admission.