# From CERN

19,166 courses and talks.

- [Statistics for Particle Physicists](https://invisiblenetwork.ai/learn/cern/3012227): Glen Cowan · CERN
- [Search for long-lived particles decaying into two muons using data collected with high rate triggers at CMS](https://invisiblenetwork.ai/learn/cern/3012229): Mario Masciovecchio · CERN
- [Statistics for Particle Physicists](https://invisiblenetwork.ai/learn/cern/3018981): Glen Cowan · CERN
- [Physics Performance (reco Pflow, Kinematic fit, tracking, PID)](https://invisiblenetwork.ai/learn/cern/3002715): Philipp Roloff · CERN
- [Challenges in global interpretation of data from future e+e- colliders and interplay with HL-LHC](https://invisiblenetwork.ai/learn/cern/3012333): Jorge de Blas · CERN
- [Way-ahead with the WG1 and WG2 activities](https://invisiblenetwork.ai/learn/cern/3002257): Jenny List · CERN
- [Detector Simulation (FastSim and Full Sim etc.)](https://invisiblenetwork.ai/learn/cern/3012412): Daniel Jeans · CERN
- [Theoretical challenges for future e+e- colliders](https://invisiblenetwork.ai/learn/cern/3012336): Michael Peskin · CERN
- [Experimental challenges at future e+e- colliders](https://invisiblenetwork.ai/learn/cern/3004330): Emmanuel Francois Perez · CERN
- [Physics Event Generators, BeamConditions (Beamstrahlung, Polarization), Standard Candles and Luminosity](https://invisiblenetwork.ai/learn/cern/3012339): Wolfgang Kilian · CERN
- [Design patterns and best practices](https://invisiblenetwork.ai/learn/cern/3012295): Daniel Campora · CERN
- [Introduction of the ECFA study](https://invisiblenetwork.ai/learn/cern/3012340): Karl Jakobs · CERN
- [Performant programming for GPUs](https://invisiblenetwork.ai/learn/cern/3011097): Daniel Campora · CERN
- [Programming for GPUs](https://invisiblenetwork.ai/learn/cern/3012115): Dorothea vom Bruch · CERN
- [Track reconstruction on heterogeneous architectures with SYCL](https://invisiblenetwork.ai/learn/cern/3017755): Bartosz Sobol · CERN
- [FRED: a fast Monte Carlo code on GPU for Treatment Planning Software](https://invisiblenetwork.ai/learn/cern/3017751): Micol De Simoni · CERN
- [PyTorch C++ API](https://invisiblenetwork.ai/learn/cern/3012278): David Brunner · CERN
- [Matrix Element Regression with Deep Neural Networks -- breaking the CPU barrier](https://invisiblenetwork.ai/learn/cern/3012277): Florian Bury · CERN
- [Scientific computing on heterogeneous architectures](https://invisiblenetwork.ai/learn/cern/3010935): Dorothea vom Bruch · CERN
- [Practical vectorization](https://invisiblenetwork.ai/learn/cern/3010926): Sebastien Ponce · CERN
- [Parallel and optimised scientific software - exercise debriefing](https://invisiblenetwork.ai/learn/cern/3012293): Sebastien Ponce · CERN
- [Exploring Heterogeneous Architectures in Track Reconstruction Software](https://invisiblenetwork.ai/learn/cern/3017760): Georgiana Mania · CERN
- [Parallel and optimised scientific software - exercise introduction](https://invisiblenetwork.ai/learn/cern/3009904): Sebastien Ponce · CERN
- [Optimizing existing large codebase](https://invisiblenetwork.ai/learn/cern/3010806): Sebastien Ponce · CERN
- [Special evening talk: Future of the Universe and of Humanity](https://invisiblenetwork.ai/learn/cern/3008279): Ivica Puljak · CERN
- [Search for supersymmetry in electroweak production modes with the ATLAS detector](https://invisiblenetwork.ai/learn/cern/3010684): Sara Alderweireldt · CERN
- [Modern programming languages for HEP](https://invisiblenetwork.ai/learn/cern/3010805): Sebastien Ponce · CERN
- [Writing parallel software](https://invisiblenetwork.ai/learn/cern/3014828): Danilo Piparo · CERN
- [Preparing for the HL-LHC computational challenge](https://invisiblenetwork.ai/learn/cern/3007333): Danilo Piparo · CERN
- [Introduction to CERN School of Computing](https://invisiblenetwork.ai/learn/cern/3014667): Sebastian Lopienski · CERN
- [Closing remarks from the LHCP2021 International Advisory Committee](https://invisiblenetwork.ai/learn/cern/3013715): Bruno Mansoulie · CERN
- [Poster awards ceremony](https://invisiblenetwork.ai/learn/cern/3013616): Elisabetta Gallo · CERN
- [Report from the LHC Early Career Scientists Fora](https://invisiblenetwork.ai/learn/cern/3013347): Igor Kostiuk · CERN
- [LHCP2021 experimental highlights](https://invisiblenetwork.ai/learn/cern/3008660): Shahram Rahatlou · CERN
- [Keynote talk: Dark matter](https://invisiblenetwork.ai/learn/cern/3013343): Laura Baudis · CERN
- [Theory vision](https://invisiblenetwork.ai/learn/cern/3013334): Gian Giudice · CERN
- [Closing remarks](https://invisiblenetwork.ai/learn/cern/3013329): Tulika Bose and Dave Charlton · CERN
- [Selection of Materials for application to particle accelerators](https://invisiblenetwork.ai/learn/cern/3019418): Ignacio Aviles Santillana · CERN
- [Results on soft QCD at LHC and Tevatron](https://invisiblenetwork.ai/learn/cern/3010503): Leszek Adamczyk · CERN
- [Understanding QGP with heavy flavor and quarkonia](https://invisiblenetwork.ai/learn/cern/3010508): Sebastian Tapia Araya · CERN
- [Jet properties and substructure (theory)](https://invisiblenetwork.ai/learn/cern/3010501): Mrinal Dasgupta · CERN
- [Jet properties and substructure (exp)](https://invisiblenetwork.ai/learn/cern/3010502): Leticia Cunqueiro Mendez · CERN
- [Soft particle production from QGP](https://invisiblenetwork.ai/learn/cern/3010507): Alice Ohlson · CERN
- [Results on vector boson (+jet) production](https://invisiblenetwork.ai/learn/cern/3010498): Daniel Charles Craik · CERN
- [Upgrades for ALICE](https://invisiblenetwork.ai/learn/cern/3013189): Christian Lippmann · CERN
- [Heavy ion collisions - theory](https://invisiblenetwork.ai/learn/cern/3010504): Jasmine Therese Brewer · CERN
- [Physics at the HL-LHC and beyond](https://invisiblenetwork.ai/learn/cern/3007268): Sergo Jindariani · CERN
- [Upgrades for CMS](https://invisiblenetwork.ai/learn/cern/3010516): Santiago Folgueras · CERN

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