# From CERN 19,166 courses and talks. - [Dark Particles and Bright Bursts: Future Stories from the Gamma-Ray Sky with GALAXIS](https://invisiblenetwork.ai/learn/cern/3026499): Orion Ning · CERN - [Theoretical Predictions for the Inner Dark Matter Distribution in the Milky Way Informed by Simulations](https://invisiblenetwork.ai/learn/cern/3026500): Abd El Aziz Hussein · CERN - [Cornered But Alive: GeV-scale Thermal Dark Matter From Dark Photons](https://invisiblenetwork.ai/learn/cern/3026510): David Alonso-González · CERN - [Recent Dark Matter Search Results from XENONnT](https://invisiblenetwork.ai/learn/cern/3026513): Shengchao Li · CERN - [Results from the LZ Direct detection experiment](https://invisiblenetwork.ai/learn/cern/3026511): Knut Moraa · CERN - [Dark Matter in Composite Higgs](https://invisiblenetwork.ai/learn/cern/3026512): Andrea Di Lecce · CERN - [Direct detection with archaeological Pb](https://invisiblenetwork.ai/learn/cern/3026514): Nahuel Ferreiro Iachellini · CERN - [Detecting Higgsinos on Earth](https://invisiblenetwork.ai/learn/cern/3026520): Harikrishnan Ramani · CERN - [The Search for Thermal Relic Dark Matter with VERITAS and Dark100](https://invisiblenetwork.ai/learn/cern/3026526): Elisa Pueschel · CERN - [The 20 GeV gamma-ray excess is not from dark matter](https://invisiblenetwork.ai/learn/cern/3026527): Joshua Foster · CERN - [Enhancing the sensitivity of future indirect dark matter searches: a path towards thermal relics](https://invisiblenetwork.ai/learn/cern/3026538): Daniel Kerszberg · CERN - [WIMPs at (Future) Colliders](https://invisiblenetwork.ai/learn/cern/3026543): Roberto Franceschini · CERN - [Theory and Machine Learning for Indirect Detection of Dark Matter](https://invisiblenetwork.ai/learn/cern/3026566): Lina Necib · CERN - [Physics of Heavy Ion Collisions 1/3](https://invisiblenetwork.ai/learn/cern/3026483): Jochen Klein · CERN - [The Standard Model 1/4](https://invisiblenetwork.ai/learn/cern/3026484): Andreas Weiler · CERN - [Experimental Physics at Hadron Colliders 1/4](https://invisiblenetwork.ai/learn/cern/3026486): Markus Klute · CERN - [Fundamentals of Deep Learning for CERN Summer Students](https://invisiblenetwork.ai/learn/cern/3026498): Linus Maximilian Eickhoff and Jarl Saether · CERN - [Electroweak corrections to the freeze-out of Minimal Dark Matter](https://invisiblenetwork.ai/learn/cern/3026506): Mateusz Duch · CERN - [Set the Night on FIRE: Building an Empirical Local Dark Matter Velocity Distribution](https://invisiblenetwork.ai/learn/cern/3026504): Xiuyuan Zhang · CERN - [Lessons from Secluded Supersymmetric Dark WIMPs](https://invisiblenetwork.ai/learn/cern/3026505): Bibhushan Shakya · CERN - [TRIDENT's prospects for thermal relics](https://invisiblenetwork.ai/learn/cern/3026502): Andrew Cheek · CERN - [Effective Field Theory Analyses of LZ Dark Matter Search Data](https://invisiblenetwork.ai/learn/cern/3026503): Sergey Burdin · CERN - [Minimal Baryogenesis induced Asymmetric Dark Matter](https://invisiblenetwork.ai/learn/cern/3026509): Miguel Escudero Abenza · CERN - [Indirect Detection of Thermal Electroweak Dark Matter](https://invisiblenetwork.ai/learn/cern/3026507): Linda Xu · CERN - [Electroweak Dark Matter: Multiplets, Masses, and Searches](https://invisiblenetwork.ai/learn/cern/3026508): Diego Redigolo · CERN - [Semi-analytic Inference of Dwarf Galaxy Densities and Implications for Dark Matter Searches](https://invisiblenetwork.ai/learn/cern/3026522): Kailash Raman · CERN - [Flavour as a Guide to Thermal Dark Matter](https://invisiblenetwork.ai/learn/cern/3026521): Xavier Ponce Diaz · CERN - [Opening](https://invisiblenetwork.ai/learn/cern/3026518): Cari Cesarotti · CERN - [Neutron stars can shine a light on elusive lepton-flavor-violating dark matter](https://invisiblenetwork.ai/learn/cern/3026519): Jaime Hoefken Zink · CERN - [CTAO status](https://invisiblenetwork.ai/learn/cern/3026525): Masahiro Teshima · CERN - [Dark Secrets of Baryons: Illuminating Dark Matter-Baryon Interactions with JWST](https://invisiblenetwork.ai/learn/cern/3026534): Ranjan Laha · CERN - [Indirect WIMP detection: a multiwavelength perspective](https://invisiblenetwork.ai/learn/cern/3026547): Francesca Calore · CERN - [Indirect Detection: Extending MeV Dark Matter Bounds With COSI](https://invisiblenetwork.ai/learn/cern/3026544): Robin Anthony-Petersen · CERN - [SG6 : Particle Accelerators](https://invisiblenetwork.ai/learn/cern/3026466): Chandra Bahadur Pradhan and others · CERN - [SG8 : Particle Detectors](https://invisiblenetwork.ai/learn/cern/3026463): Hillel Solomon and others · CERN - [SG3 : Computing at CERN](https://invisiblenetwork.ai/learn/cern/3026467): Agustin Pacheco and others · CERN - [SG7 : Particle Physics](https://invisiblenetwork.ai/learn/cern/3026464): Abdulrahman Sayour and others · CERN - [SG4 : Applications of Particle Physics](https://invisiblenetwork.ai/learn/cern/3026469): Andrés Moriña Marcelo and others · CERN - [SG2 : Antimatter and Other Open Questions](https://invisiblenetwork.ai/learn/cern/3026473): Catherine Peterson and others · CERN - [SG5 : Engineering at CERN](https://invisiblenetwork.ai/learn/cern/3026468): KAMDOUM KUITCHE Alex and others · CERN - [SG1 : The Future of Particle Accelerators](https://invisiblenetwork.ai/learn/cern/3026472): Amber Custance and others · CERN - [Electronics, DAQ and Triggers 3/3](https://invisiblenetwork.ai/learn/cern/3026478): Tommaso Colombo · CERN - [Quantum Gravity 1/1](https://invisiblenetwork.ai/learn/cern/3026476): Kyriakos Papadodimas · CERN - [Nuclear Physics at CERN 2/2](https://invisiblenetwork.ai/learn/cern/3026492): Magdalena Kowalska · CERN - [From Raw Data to Physics Results 3/3](https://invisiblenetwork.ai/learn/cern/3026459): Josh Bendavid · CERN - [Electronics, DAQ and Triggers 2/3](https://invisiblenetwork.ai/learn/cern/3026460): Tommaso Colombo · CERN - [Nuclear Physics at CERN 1/2](https://invisiblenetwork.ai/learn/cern/3026461): Magdalena Kowalska · CERN - [The search for axion dark matter](https://invisiblenetwork.ai/learn/cern/3026731): Benjamin Safdi · CERN [Next page](https://invisiblenetwork.ai/learn/browse?source=cern&page=348)