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This seminar course explores the cutting-edge intersection of machine learning and structural biology, focusing on recent advancements that have revolutionized the study of protein and biomolecule structures. You will delve into how ML algorithms are applied to critical tasks such as protein structure prediction, determination, and computational protein design. The course emphasizes a holistic understanding of research papers, considering their historical context, algorithmic contributions, and their potential to drive scientific and drug discovery. The program is offered in the Fall term only and encourages applications from diverse academic backgrounds.
Princeton University's Department of Chemical and Biological Engineering offers graduate programs designed to prepare students for leadership roles in research, academia, and industry. The department emphasizes a strong foundation in chemical engineering principles, chemistry, biology, mathematics, and physics. Key strengths include a low student-to-faculty ratio, fostering close mentorship, a diverse student body, strong interdisciplinary collaborations, and proximity to a significant concentration of industrial research laboratories. The graduate programs are primarily focused on the Ph.D. degree, with master's programs available for practicing engineers seeking to enhance their knowledge.