# From CERN 19,166 courses and talks. - [Path length dependence of radiative energy loss](https://invisiblenetwork.ai/learn/cern/3021511): Francois Arleo · CERN - [ScGA Grand Challenges](https://invisiblenetwork.ai/learn/cern/3021793): Ziad Melhem · CERN - [Introduction to Roundtables](https://invisiblenetwork.ai/learn/cern/3021792): Amedeo Habsburg · CERN - [Pitch 2: Unconventional](https://invisiblenetwork.ai/learn/cern/3021861): Alejandro (Ome) Avilés · CERN - [Pitch 7: Orbiba Robotics](https://invisiblenetwork.ai/learn/cern/3021858): Ilker Bektas · CERN - [Pitch 3: Animal Care Engineering](https://invisiblenetwork.ai/learn/cern/3021860): Katarzyna Stachyra and Anna Kolano · CERN - [Two-loop running in the SMEFT at dimension-six](https://invisiblenetwork.ai/learn/cern/3022184): Lukas Born · CERN - [Discussion on truncation](https://invisiblenetwork.ai/learn/cern/3023049): William Shepherd and David William Sutherland · CERN - [CMS overview hard probes](https://invisiblenetwork.ai/learn/cern/3023113): Cristian Baldenegro · CERN - [The Art of Counting: where to cut-off SMEFT and HEFT in Higgs Pair Production](https://invisiblenetwork.ai/learn/cern/3023233): Konstantin Schmid · CERN - [(Remote) Updates from the SMEFiT collaboration](https://invisiblenetwork.ai/learn/cern/3023236): Jaco ter Hoeve · CERN - [Two loop running effects in the Higgs gluon coupling](https://invisiblenetwork.ai/learn/cern/3023235): Barbara Anna Erdelyi · CERN - [LHCb overview soft](https://invisiblenetwork.ai/learn/cern/3021404): Zhengchen Lian · CERN - [Predictions for light-ions](https://invisiblenetwork.ai/learn/cern/3021408): Wilke Van Der Schee · CERN - [STAR overview soft](https://invisiblenetwork.ai/learn/cern/3021405): Chunjian Zhang · CERN - [Predictions for light-ions](https://invisiblenetwork.ai/learn/cern/3021407): Wenbin Zhao · CERN - [Longitudinal structure of light-ion collisions](https://invisiblenetwork.ai/learn/cern/3021409): Andreas Kirchner · CERN - [Light-ions with McDipper initial conditions](https://invisiblenetwork.ai/learn/cern/3021410): Oscar Garcia-Montero · CERN - [Flow in light ion collisions from kinetic theory and inferences on hydrodynamisation](https://invisiblenetwork.ai/learn/cern/3021433): Clemens Werthmann · CERN - [Discussion: Do we understand collectivity in small systems?](https://invisiblenetwork.ai/learn/cern/3021445): Sunil Jaiswal, Raimond Snellings and Oscar Garcia-Montero · CERN - [(Remote) CMS SMP+TOP summary](https://invisiblenetwork.ai/learn/cern/3021473): Saptaparna Bhattacharya · CERN - [Positivity in EFT Renormalization](https://invisiblenetwork.ai/learn/cern/3021474): Jasper Roosmale Nepveu · CERN - [Renormalization of general Effective Field Theories](https://invisiblenetwork.ai/learn/cern/3021485): Pablo Olgoso Ruiz · CERN - [Toward lattice simulations of strongly-correlated nuclear systems with high-fidelity chiral interactions](https://invisiblenetwork.ai/learn/cern/3021462): Dean Lee · CERN - [LHCb summary](https://invisiblenetwork.ai/learn/cern/3021483): Bo Fang · CERN - [EFT meets Conformal Field Theory](https://invisiblenetwork.ai/learn/cern/3021486): Johan Henriksson · CERN - [Emergent Curvature from Flat-Space QFTs: A Computational Search for Gravity](https://invisiblenetwork.ai/learn/cern/3021514): Alon Lifshits · CERN - [CaloDiT-2 updates](https://invisiblenetwork.ai/learn/cern/3021571): Peter McKeown · CERN - [Welcome and Introduction to CERN](https://invisiblenetwork.ai/learn/cern/3021781): Mike Lamont · CERN - [Panel Session: Superconductors in industry and society: key challenges and opportunities](https://invisiblenetwork.ai/learn/cern/3021786): Yann Duclot and others · CERN - [Keynote: Superconducting science and technology: established and emerging applications](https://invisiblenetwork.ai/learn/cern/3021785): Pierre Vedrine · CERN - [Day 1 - conclusions](https://invisiblenetwork.ai/learn/cern/3021791): Luca Bottura · CERN - [Fusion 2040 – Germany’s Fusion Program. Connecting public and private research on the way to a fusion power plant](https://invisiblenetwork.ai/learn/cern/3021783): Peter Schroth · CERN - [Superconductivity Global Alliance](https://invisiblenetwork.ai/learn/cern/3021782): Ziad Melhem · CERN - [Keynote: Superconductors are ubiquitous in discovery science](https://invisiblenetwork.ai/learn/cern/3021784): Frédérick Bordry · CERN - [Keynote: Private Investment: What attracts venture & long-term capital?](https://invisiblenetwork.ai/learn/cern/3021789): Charles Beigbeder · CERN - [Panel Session: Perspectives on Funding and Scaling up Investment.](https://invisiblenetwork.ai/learn/cern/3021790): Pierre Brodard and others · CERN - [Panel Session: Materials, manufacturing, and workforce development](https://invisiblenetwork.ai/learn/cern/3021788): Pietro Corsaro and others · CERN - [Keynote: Challenges in the Scale-up Process Materials, Manufacturing, Workforce](https://invisiblenetwork.ai/learn/cern/3021787): Matteo Alessandrini · CERN - [Panel Session: Perspectives from corporate and institutional investors](https://invisiblenetwork.ai/learn/cern/3021797): Milena Roveda and others · CERN - [CaloChallenge at LHCb](https://invisiblenetwork.ai/learn/cern/3021840): Michał Mazurek · CERN - [ATLAS dataset & models](https://invisiblenetwork.ai/learn/cern/3021839): Florian Ernst · CERN - [CaloDiffusion updates](https://invisiblenetwork.ai/learn/cern/3021838): Oz Amram · CERN - [Keynote: Market dynamics and investment in applied superconductivity projects](https://invisiblenetwork.ai/learn/cern/3021941): Francesca Ferrazza · CERN - [Causality Constraints to Multi-Particle Cumulants: Testing Different System Sizes at the LHC](https://invisiblenetwork.ai/learn/cern/3022974): Isabella Danhoni · CERN - [Collective flow in transport models](https://invisiblenetwork.ai/learn/cern/3022977): Lucas Constantin · CERN - [The shape of 20Ne from low energy nuclear physics measurements](https://invisiblenetwork.ai/learn/cern/3022981): Nico Orce · CERN - [Collective Dynamics and Opacity Estimation in OO Collision Systems via CoMBolt-ITA](https://invisiblenetwork.ai/learn/cern/3022973): Seyed Farid Taghavi · CERN [Next page](https://invisiblenetwork.ai/learn/browse?source=cern&page=318)