
Explore biological dynamics using physics tools to model predator-prey oscillations, ecosystem chaos, and microbial swimming. Learn to predict species competition, population changes, and collective behavior in fluids.

Explore biological dynamics using physics tools to model complex living systems, from predator-prey oscillations to bacterial motility, in this introductory course for undergraduates.

Explore biological dynamics using physics tools to model predator-prey oscillations, ecosystem chaos, and microbial swimming. Learn to predict species competition, population changes, and collective behavior in fluids.

Explore biological dynamics using physics tools to model predator-prey oscillations, ecosystem chaos, and microbial swimming. Learn to predict species competition, population changes, and collective behavior in fluids.

Annual discussion meeting for Indian statistical physics community, covering diverse topics from quantum fluids to complex systems. Fosters collaboration among scientists, postdocs, and students in the field.

Gain insights on applying to biophysics graduate programs, from choosing schools to crafting personal statements and connecting with potential advisors.

Explore strategies for integrating biological physics into undergraduate physics curricula, including examples, course adaptations, and interdisciplinary majors.

Explore advanced active matter models in mechanobiology, focusing on cutting-edge research and applications in biological systems.

Explore vertex models for tissue mechanics, focusing on fundamental concepts and applications in biological systems.

Explore active matter models for multicellular tissue dynamics, examining non-equilibrium processes in physics and biology.

Explore advanced concepts in animal movement patterns, focusing on trajectory analysis and interaction dynamics in biological physics across different scales.

Explore pattern formation across biological scales, from subcellular structures to multicellular systems, examining the integration and emergence of complex biological organization.

Explore pattern formation across biological scales, from subcellular structures to multicellular systems, examining integrated mechanisms and hierarchical organization in living organisms.

Explore data-driven approaches in biological physics, focusing on pattern formation dynamics and learning systems through advanced analytical methods and real-world applications.

Explore pattern formation across biological scales, from subcellular structures to multicellular systems, examining integrated mechanisms and hierarchical organization in living organisms.

Delve into data-driven biological physics principles and pattern formation systems, exploring dynamic learning approaches for understanding complex biological phenomena and their mathematical foundations.

Explore the fundamental principles of spatial ecology through physics-based approaches, examining pattern formation and biological systems across different scales in natural environments.

Explore stochastic pattern formation principles across biological systems, from neural networks to ecosystem dynamics, with insights into spatial-temporal mathematical modeling.

Explore pattern formation across biological scales, from subcellular structures to multicellular systems, examining fundamental principles and mechanisms of biological organization.

Explore stochastic pattern formation principles across biological systems, from neural networks to ecosystem dynamics, with insights into spatial-temporal mathematical modeling.

Explore advanced concepts in biological pattern formation, focusing on self-organization mechanisms within living and synthetic cellular systems and their fundamental principles.