# From CERN 19,166 courses and talks. - [Dark Energy in String Theory & the Swampland](https://invisiblenetwork.ai/learn/cern/3026888): Miguel Montero · CERN - [DESI Galaxy Clustering and Tests of Cosmic Parity](https://invisiblenetwork.ai/learn/cern/3026897): Jiamin Hou · CERN - [Tests of the equivalence principle with cosmological data](https://invisiblenetwork.ai/learn/cern/3026879): Camille Bonvin · CERN - [FAM session - Core HR Day 2 - Part 1/4](https://invisiblenetwork.ai/learn/cern/3026895): Aparna Sharma and Shilpa Shanbhag · CERN - [FAM session - Core HR Day 2 - Part 4/4](https://invisiblenetwork.ai/learn/cern/3026899): Aparna Sharma and Shilpa Shanbhag · CERN - [VDG modelling for DESI: Power Spectrum and Bispectrum](https://invisiblenetwork.ai/learn/cern/3026915): Giosuè Gambardella · CERN - [Constraints on Ultra-Light Axions from the DESI DR1 Full Shape, Planck and ACT](https://invisiblenetwork.ai/learn/cern/3026916): Francesco Verdiani · CERN - [Local Primordial non-Gaussianity from Time Evolution](https://invisiblenetwork.ai/learn/cern/3026914): James Sullivan · CERN - [Newtonian Motion gauges and large-scale structure theories](https://invisiblenetwork.ai/learn/cern/3026918): Julien Lesgourgues · CERN - [Towards a Robust Joint Power Spectrum and Bispectrum Analysis for Euclid DR1](https://invisiblenetwork.ai/learn/cern/3026919): Louis Christoph · CERN - [Tensor Observables on the Sky](https://invisiblenetwork.ai/learn/cern/3026917): Shi-Fan Chen · CERN - [FAM session - Core HR Day 2 - Part 2/4](https://invisiblenetwork.ai/learn/cern/3026894): Aparna Sharma and Shilpa Shanbhag · CERN - [Causality bounds on Goldstones](https://invisiblenetwork.ai/learn/cern/3026884): Paolo Creminelli · CERN - [Constraining Local Primordial Non-Gaussianity with Cross Correlations Alone](https://invisiblenetwork.ai/learn/cern/3027154): Guanming Liang · CERN - [Testing parity with composite-field spectra of BOSS and DESI luminous red galaxies](https://invisiblenetwork.ai/learn/cern/3026871): Zucheng Gao · CERN - [Effective Field Theory of Fluids: Extending the Lagrangian-Based Approach to Non-Barotropic Systems](https://invisiblenetwork.ai/learn/cern/3026872): Lorenzo La Penna · CERN - [Towards the Two-Loop EFTofLSS in Galaxy Lensing Surveys](https://invisiblenetwork.ai/learn/cern/3026874): Evan Saraivanov · CERN - [Dark Matter Recoupling](https://invisiblenetwork.ai/learn/cern/3026877): Eugenia Dallari · CERN - [Investigating matter PDFs beyond TopHat filters](https://invisiblenetwork.ai/learn/cern/3026870): Alexander Kayssi · CERN - [Beyond Galaxy Clustering: Non-linear Relativistic Effects on the Redshift Drift](https://invisiblenetwork.ai/learn/cern/3026873): Pierre Béchaz · CERN - [Exploring the Dark Sector with Precision Cosmology](https://invisiblenetwork.ai/learn/cern/3026876): Andrea Clini · CERN - [Modeling Higher-Order Bias via the Cosmic Web: Implications for DESI Full Shape Analyses](https://invisiblenetwork.ai/learn/cern/3026869): Samuel Brieden · CERN - [Higher-order Galaxy Bias: Theory and Numerics](https://invisiblenetwork.ai/learn/cern/3026875): Thomas Bakx · CERN - [Dark Matter with a Drag at Low Redshift](https://invisiblenetwork.ai/learn/cern/3026880): Martin Schmaltz · CERN - [New Physics from Galaxies, perturbatively](https://invisiblenetwork.ai/learn/cern/3026883): Pierre Zhang · CERN - [Tide-and-Seek: Scale-dependent bias from the angular-dependent squeezed bispectrum](https://invisiblenetwork.ai/learn/cern/3027132): Yong Sheng Yap · CERN - [Quantum Metrology for Wavelike Dark Matter](https://invisiblenetwork.ai/learn/cern/3026878): Bin Xu · CERN - [Atomic frontiers in fundamental physics](https://invisiblenetwork.ai/learn/cern/3026865): Benjamin Roberts · CERN - [Superradiant interactions of cosmic relics](https://invisiblenetwork.ai/learn/cern/3026886): Marios Galanis · CERN - [Talk-for-Guides: The history of the CERN accelerator complex](https://invisiblenetwork.ai/learn/cern/3026898): Gijs De Rijk and others · CERN - [Noisy flux-tunable qubits for ultralight dark matter](https://invisiblenetwork.ai/learn/cern/3026825): Marianne Moore · CERN - [Adaptive quantum sensing for wave-like dark matter searches](https://invisiblenetwork.ai/learn/cern/3026826): So Chigusa · CERN - [Fusion energy: where do we stand and what comes next?](https://invisiblenetwork.ai/learn/cern/3026997): Paolo Ricci · CERN - [An Ultra-Cold Mechanical Quantum Sensor for Tests of New Physics.](https://invisiblenetwork.ai/learn/cern/3026806): Andraz Omahen · CERN - [An idea for ultra-broadband axion dark matter detection](https://invisiblenetwork.ai/learn/cern/3026804): Angelo Esposito · CERN - [Welcome](https://invisiblenetwork.ai/learn/cern/3026803): Clara Murgui Galvez, Hannah Molly Banks and Mario Reig Lopez · CERN - [EM cavities \[2/2\]](https://invisiblenetwork.ai/learn/cern/3026760): Chelsea Bartram · CERN - [Presentations](https://invisiblenetwork.ai/learn/cern/3026759): Clara Murgui · CERN - [EM cavities \[1/2\]](https://invisiblenetwork.ai/learn/cern/3026755): Chelsea Bartram · CERN - [Talk on quantum activities @ CERN](https://invisiblenetwork.ai/learn/cern/3026745): Michael Doser · CERN - [Talk on quantum activities @ CERN](https://invisiblenetwork.ai/learn/cern/3026752): Michael Doser · CERN - [Cold Atoms \[2/2\]](https://invisiblenetwork.ai/learn/cern/3026746): Dennis Schlippert · CERN - [Welcome](https://invisiblenetwork.ai/learn/cern/3026710): Clara Murgui Galvez and others · CERN - [Cold atoms \[1/2\]](https://invisiblenetwork.ai/learn/cern/3026734): Dennis Schlippert · CERN - [Welcome](https://invisiblenetwork.ai/learn/cern/3026733): Clara Murgui Galvez and others · CERN - [STEAM Academy Seminar: The Secrets to Training World-Class LLMs](https://invisiblenetwork.ai/learn/cern/3026711): Lewis Dr Tunstall · CERN - [Performance Study of GPUDirect Storage for CMS Reconstruction Workflows](https://invisiblenetwork.ai/learn/cern/3026685): Ayaan Aziz Dewani · CERN - [Implementation of a modern logging pipeline for Hadoop](https://invisiblenetwork.ai/learn/cern/3026682): Jordie Biemold · CERN [Next page](https://invisiblenetwork.ai/learn/browse?source=cern&page=344)