# Physics 6,273 courses and talks. - [What can numerical relativity do for dark matter particle physics?](https://invisiblenetwork.ai/learn/cern/3007597): Katy Clough · CERN - [Probing the inflationary particle content with primordial non-Gaussianities](https://invisiblenetwork.ai/learn/cern/3007529): Lucas Pinol · CERN - [Radiative corrections in neutrino physics](https://invisiblenetwork.ai/learn/cern/3015401): Oleksandr Tomalak · CERN - [Introduction to Quantum Computing](https://invisiblenetwork.ai/learn/cern/3005453): Heather Gray · CERN - [Introduction to Quantum Computing](https://invisiblenetwork.ai/learn/cern/3003552): Heather Gray · CERN - [Introduction to Quantum Computing](https://invisiblenetwork.ai/learn/cern/3003522): Heather Gray · CERN - [The Future of Fundamental Physics](https://invisiblenetwork.ai/learn/cern/3007115): Robbert Dijkgraaf · CERN - [Quantum Classifiers for Higgs searches](https://invisiblenetwork.ai/learn/cern/3000654): Vasileios Belis · CERN - [Quantum GNN and hybrid data embedding for particle tracking](https://invisiblenetwork.ai/learn/cern/3000657): Cenk Tuysuz and Carla Sophie Rieger · CERN - [Quantum Reinforcement Learning for Beam Steering](https://invisiblenetwork.ai/learn/cern/3000655): Verena Kain and Michael Schenk · CERN - [Quantum Circuit Optimization for Scientific Applications](https://invisiblenetwork.ai/learn/cern/3000656): Koji Terashi · CERN - [Quantum GAN](https://invisiblenetwork.ai/learn/cern/3000652): Su Yeon Chang · CERN - [Using deep learning techniques on hardware accelerators for particle identification studies in ProtoDUNE](https://invisiblenetwork.ai/learn/cern/3000551): Manuel Rodriguez · CERN - [Indeterminism in Physics and Intuitionistic Mathematics](https://invisiblenetwork.ai/learn/cern/3000047): Nicolas Gisin · CERN - [EWino searches in CheckMate and $(g-2)_\mu$ in the MSSM](https://invisiblenetwork.ai/learn/cern/2302476): Manimala Chakraborti · CERN - [Constraining Electroweakinos in the Minimal Dirac Gaugino Model](https://invisiblenetwork.ai/learn/cern/2302478): Humberto Reyes-González · CERN - [Recasting searches for pp -> A(H) -> ZH(A) -> l+l- bb (and other processes) onto 2HDM parameter spaces](https://invisiblenetwork.ai/learn/cern/2302473): Souad Semlali · CERN - [Towards GAMBIT 2.0](https://invisiblenetwork.ai/learn/cern/2302479): Anders Kvellestad · CERN - [Exploring Multilepton Signatures From Dark Matter at the LHC](https://invisiblenetwork.ai/learn/cern/2302475): Arran Charles Freegard · CERN - [Direct Detection of Dark Matter: Precision Predictions in a Simplified Model Framework](https://invisiblenetwork.ai/learn/cern/2302477): Christoph Borschensky · CERN - [Type-III Seesaw: Phenomenological Implications of the Information Lost in Decoupling from High-Energy to Low-Energy](https://invisiblenetwork.ai/learn/cern/2302474): Saiyad Ashanujjaman · CERN - [Contur tutorial](https://invisiblenetwork.ai/learn/cern/2302471): Jonathan Butterworth and Martin Habedank · CERN - [Enhancing likelihood distribution with the DNNLikelihood framework](https://invisiblenetwork.ai/learn/cern/2302508): Andrea Coccaro · CERN - [CheckMATE tutorial](https://invisiblenetwork.ai/learn/cern/2302544): Jong Soo Kim and Mangesh Sonawane · CERN - [Artificial Proto-Modelling: Building Precursors of a Next Standard Model from Simplified Model Results](https://invisiblenetwork.ai/learn/cern/2302401): Wolfgang Waltenberger · CERN - [Pitfalls in likelihood land](https://invisiblenetwork.ai/learn/cern/2302505): Andrew Fowlie · CERN - [Elevenses over MadAnalysis 5](https://invisiblenetwork.ai/learn/cern/3007337): Jack Araz · CERN - [Hands on MadMiner](https://invisiblenetwork.ai/learn/cern/3018726): Kyle Stuart Cranmer · CERN - [The LHC Olympics 2020: A Community Challenge for Anomaly Detection in High Energy Physics](https://invisiblenetwork.ai/learn/cern/3012566): Ben Nachman · CERN - [pyhf: pure-python HistFactory -- the tutorial](https://invisiblenetwork.ai/learn/cern/3012607): Giordon Holtsberg Stark, Lukas Alexander Heinrich and Matthew Feickert · CERN - [Interpreting and combining neutrino oscillation data](https://invisiblenetwork.ai/learn/cern/3020143): Eligio Lisi · CERN - [ATLAS SimpleAnalysis: "You can handle the truth!"](https://invisiblenetwork.ai/learn/cern/3020145): Jeanette Miriam Lorenz · CERN - [Pitfalls and challenges interpreting direct detection data](https://invisiblenetwork.ai/learn/cern/3020141): Christopher McCabe · CERN - [GWOSC: Gravitational Wave Open Science Center](https://invisiblenetwork.ai/learn/cern/3020150): Agata TROVATO · CERN - [Hands-on SMEFTsim](https://invisiblenetwork.ai/learn/cern/2302406): Ilaria Brivio · CERN - [Working with CMS Open Data: a report from the first hands-on workshop](https://invisiblenetwork.ai/learn/cern/3020148): Edgar Fernando Carrera Jarrin · CERN - [FAIR principles for Open Science \[keynote talk\]](https://invisiblenetwork.ai/learn/cern/3019937): Barend Mons · CERN - [On reinterpretation of high-intensity experiments](https://invisiblenetwork.ai/learn/cern/3020144): Yotam Soreq · CERN - [Publishing results and data of direct detection experiments](https://invisiblenetwork.ai/learn/cern/3019951): Knut Moraa · CERN - [LHC measurements and additional information to use in global fits/EFT interpretations](https://invisiblenetwork.ai/learn/cern/3020060): Andrew Gilbert · CERN - [Review of recent searches for long-lived particles at the LHC](https://invisiblenetwork.ai/learn/cern/3020057): Federico Leo Redi · CERN - [Probing Higgs Sectors with Limits and Measurements](https://invisiblenetwork.ai/learn/cern/3020058): Jonas Wittbrodt · CERN - [Recasting the CMS Disappearing Track search](https://invisiblenetwork.ai/learn/cern/3019433): Mark Dayvon Goodsell · CERN - [Effective field theory interpretations of LHC data using Fitmaker](https://invisiblenetwork.ai/learn/cern/3019485): Tevong You · CERN - [Recent developments in CheckMATE 2](https://invisiblenetwork.ai/learn/cern/3020053): Zeren Simon Wang · CERN - [Theory aspects of EFT interpretation](https://invisiblenetwork.ai/learn/cern/3020059): Ilaria Brivio · CERN - [Probing Dark Matter with Disappearing Tracks at the LHC](https://invisiblenetwork.ai/learn/cern/3019430): Alexander Belyaev · CERN - [Discussion on validating ATLAS Disappearing Track recasts](https://invisiblenetwork.ai/learn/cern/3020056): Suchita Kulkarni · CERN [Next page](https://invisiblenetwork.ai/learn/browse?subject=physics&page=96)