
Explore the 30-year evolution of connections between statistical physics and machine learning, offering insights into their intertwined development and future implications.

Explore skills, knowledge, and mindsets for success in private sector careers with physics bachelors through insights from industry professionals and academic experts.

Tutorial on manuscript submission and review processes for Physical Review Fluids, offering tips for efficient writing and refereeing. Presented by journal editors to help authors and reviewers navigate the publication process.

Learn strategies for promoting diversity, equity, and inclusion in physics through individual activism and leadership, featuring insights from experienced change-makers.

Exploring innovations in computational thermodynamics for Earth sciences, focusing on democratizing thermochemical databases and enhancing solution models for improved research applications.

Learn to integrate Jupyter notebooks into high school physics classes, with insights on setting up JupyterHub and leveraging interactive tools for engaging STEM education.

Explore the process of creating Jupyter Notebook assignments for computational research methods, focusing on setting learning goals and structuring effective content.

Explore how Kubeflow enables graph neural network-based jet energy corrections at CERN's Large Hadron Collider, improving particle physics research through scalable machine learning workflows.

Expert panel guides postdocs and grad students through academic hiring in biological physics, covering application preparation, networking, interviews, and career development strategies.

Comprehensive guide for postdocs and grad students on navigating the academic job market in biological physics, covering application preparation, networking, interviews, and career development strategies.

Explore diverse career paths for biological physics graduates outside academia, featuring insights from PhDs who successfully transitioned to industry roles.

Explore statistical methods for detecting dependencies between random databases, including hypothesis testing and phase transitions in error probability based on database dimensions and distributions.

Explore physics-informed neural networks (PINNs) as an alternative to traditional scientific computation, addressing challenges in high-dimensional problems and incorporating noisy data in inverse problems.

Strategies for physicists to accelerate career growth, avoid stagnation, and maximize potential in industry. Insights on smart moves for promotions and new opportunities.

Discover unconventional strategies for transforming team dynamics from toxicity to productivity. Learn how to embrace chaos as a catalyst for success in corporate environments.

Explore human potential through the lens of a renowned conductor. Discover strategies for setting limits, mastering your field, and exceeding expectations to unlock your full capabilities.

Explore how quantum relationships can unlock extraordinary success, using the Beatles as an example, and learn to cultivate organic connections in a digital world through quantum physics principles.

Explore data analysis techniques through an interactive session, focusing on practical applications and hands-on learning to enhance analytical skills and problem-solving abilities.

Hands-on data analysis session exploring techniques and tools for probing hadron structure at the Electron-Ion Collider, emphasizing practical skills and real-world applications.

Explore J. Robert Oppenheimer's life and legacy through a conversation with Pulitzer Prize-winning historian Kai Bird, discussing his biography that inspired Christopher Nolan's film.

Explore the intersection of geometry and complex networks, uncovering powerful applications in network science, data analysis, and modeling real-world systems.