# From CERN 19,166 courses and talks. - [Focus Group 9 // Particle Physics & Errors and Uncertainty](https://invisiblenetwork.ai/learn/cern/3017688): Thi Thuy Duong Luong and others · CERN - [Focus Group 8 // Particle Accelerators](https://invisiblenetwork.ai/learn/cern/3017720): Sadiya Jamal and others · CERN - [Astroparticle Physics - 2/2](https://invisiblenetwork.ai/learn/cern/3017724): Teresa Montaruli · CERN - [Focus Group 5 // Antimatter Research](https://invisiblenetwork.ai/learn/cern/3017726): Stefania Della Sciucca and others · CERN - [Intro to High Performance Computing with GPUs](https://invisiblenetwork.ai/learn/cern/3010777): Ahmad Siar Hesam · CERN - [Focus Group 6 // Medical Applications of Particle Physics](https://invisiblenetwork.ai/learn/cern/3008523): Preeti Gahlawat and others · CERN - [Focus Group 7 // Engineering & Future Accelerators](https://invisiblenetwork.ai/learn/cern/3008524): Yaron Teich and others · CERN - [Heavy Ions - 2/3](https://invisiblenetwork.ai/learn/cern/3005891): Jan Fiete Grosse-Oetringhaus · CERN - [Focus Group 2 // Data Analysis in Particle Physics](https://invisiblenetwork.ai/learn/cern/3006068): Rachel Alison Schnitzerling and others · CERN - [Focus Group 3 // Particle Detectors](https://invisiblenetwork.ai/learn/cern/3005122): Yuan Zhou and others · CERN - [Introduction & Overview](https://invisiblenetwork.ai/learn/cern/3003777): Jeff Wiener · CERN - [The Standard Model - 4/5](https://invisiblenetwork.ai/learn/cern/3017609): Christophe Grojean · CERN - [Astroparticle Physics - 1/2](https://invisiblenetwork.ai/learn/cern/3017641): Teresa Montaruli · CERN - [Heavy Ions - 1/3](https://invisiblenetwork.ai/learn/cern/3017606): Jan Fiete Grosse-Oetringhaus · CERN - [Creativity, innovation and technology](https://invisiblenetwork.ai/learn/cern/3017683): Enrico Magnani · CERN - [The sonification with video excerp. Presenting the video “History of a Discovery” by Chiara Mariotti](https://invisiblenetwork.ai/learn/cern/3017686): Domenico Vicinanza · CERN - [Dynamics of galactic nuclei](https://invisiblenetwork.ai/learn/cern/3017719): Scott Tremaine · CERN - [Art@CMS/ORIGIN - Cross-disciplinary Science engagement and networking. Presenting the video “Dark Matter” performed by rapper Consensus](https://invisiblenetwork.ai/learn/cern/3017906): Michael Hoch · CERN - [Art at CERN e video “Making of HALO by Semiconductor” by former artists in residence](https://invisiblenetwork.ai/learn/cern/3003674): Claudia Marcelloni · CERN - [Accelerator Technology Challenges (Part 2: RF Superconductivity) - 1/1](https://invisiblenetwork.ai/learn/cern/3017568): Rama Calaga · CERN - [The Standard Model - 3/5](https://invisiblenetwork.ai/learn/cern/3017567): Christophe Grojean · CERN - [From Raw Data to Physics Results - 3/3](https://invisiblenetwork.ai/learn/cern/3017581): Paul James Laycock · CERN - [The Standard Model - 2/5](https://invisiblenetwork.ai/learn/cern/3017354): Christophe Grojean · CERN - [From Raw Data to Physics Results - 2/3](https://invisiblenetwork.ai/learn/cern/3017410): Paul James Laycock · CERN - [Observation and measurements of diboson processes with ATLAS](https://invisiblenetwork.ai/learn/cern/3017411): Yee Chinn Yap · CERN - [Making Predictions at Hadron Colliders - 2/2](https://invisiblenetwork.ai/learn/cern/3017412): Mike Seymour · CERN - [Evolution in Computing Hardware - Part 2](https://invisiblenetwork.ai/learn/cern/3018016): Andrzej Nowak · CERN - [Evolution in Computing Hardware](https://invisiblenetwork.ai/learn/cern/3000952): Sverre Jarp · CERN - [From Raw Data to Physics Results - 1/3](https://invisiblenetwork.ai/learn/cern/3017248): Paul James Laycock · CERN - [The Standard Model - 1/5](https://invisiblenetwork.ai/learn/cern/3017321): Christophe Grojean · CERN - [Making Predictions at Hadron Colliders - 1/2](https://invisiblenetwork.ai/learn/cern/3017322): Mike Seymour · CERN - [Theoretical Concepts in Particle Physics - 5/5](https://invisiblenetwork.ai/learn/cern/3009303): Andrew Cohen · CERN - [Electronics, DAQ and Triggers - 3/3](https://invisiblenetwork.ai/learn/cern/3007308): Roberto Ferrari · CERN - [Theoretical Concepts in Particle Physics - 4/5](https://invisiblenetwork.ai/learn/cern/3016913): Andrew Cohen · CERN - [Electronics, DAQ and Triggers - 2/3](https://invisiblenetwork.ai/learn/cern/3016918): Roberto Ferrari · CERN - [Particle Accelerators and Beam Dynamics - 3/3](https://invisiblenetwork.ai/learn/cern/3019534): Michaela Schaumann · CERN - [Particle Accelerators and Beam Dynamics - 2/3](https://invisiblenetwork.ai/learn/cern/3008576): Michaela Schaumann · CERN - [Electronics, DAQ and Triggers - 1/3](https://invisiblenetwork.ai/learn/cern/3001059): Roberto Ferrari · CERN - [Theoretical Concepts in Particle Physics - 3/5](https://invisiblenetwork.ai/learn/cern/3001518): Andrew Cohen · CERN - [Accelerator Technology Challenges (Part 1: Magnet Superconductivity) - 2/2](https://invisiblenetwork.ai/learn/cern/3016739): Daniel Schoerling · CERN - [Particle Accelerators and Beam Dynamics - 1/3](https://invisiblenetwork.ai/learn/cern/3016741): Michaela Schaumann · CERN - [Theoretical Concepts in Particle Physics - 2/5](https://invisiblenetwork.ai/learn/cern/3016740): Andrew Cohen · CERN - [A study of anisotropic flow of quarkonia with ALICE - does everything flow?](https://invisiblenetwork.ai/learn/cern/3016762): Cvetan Valeriev Cheshkov · CERN - [Quantum Computing for High Energy Physics Applications](https://invisiblenetwork.ai/learn/cern/3016778): Federico Carminati · CERN - [Accelerator Technology Challenges (Part 1: Magnet Superconductivity) - 1/2](https://invisiblenetwork.ai/learn/cern/3016614): Daniel Schoerling · CERN - [Presentation by the CERN Director for Research and Computing](https://invisiblenetwork.ai/learn/cern/3016615): Eckhard Elsen · CERN - [Theoretical Concepts in Particle Physics - 1/5](https://invisiblenetwork.ai/learn/cern/3017126): Andrew Cohen · CERN - [Containers and Orchestration with Docker and Kubernetes](https://invisiblenetwork.ai/learn/cern/3016619): Ricardo Brito Da Rocha and Spyridon Trigazis · CERN [Next page](https://invisiblenetwork.ai/learn/browse?source=cern&page=200)