24 phd-exercise-science PhD positions at CNRS

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PhD position (M/F) - Study of the Higgs boson and its self-coupling in the H → γγ and HH → bbγγ channels using deep learning techniques with the ATLAS experiment at the LHC collider at CERN.

CNRS | Toulouse, Midi Pyrenees | France | 3 months ago

), within the ATLAS group. The PhD student will join a large-scale international collaboration and participate in the activities of the ATLAS experiment at CERN. The work will focus on the analysis of data
PhD in Machine learning emulation of Antarctic ice-shelf cavities (M/F)

CNRS | Lyon 07, Rhone Alpes | France | 3 months ago

3 Jul 2026 Job Information Organisation/Company CNRS Department Laboratoire de Physique Research Field Environmental science Environmental science » Earth science Environmental science » Global
PhD student (M/F) Frugal diagnostics and fault isolation in reconfigurable multi-source microgrids

CNRS | Toulouse, Midi Pyrenees | France | 2 months ago

1 Aug 2026 Job Information Organisation/Company CNRS Department Laboratoire d'analyse et d'architecture des systèmes Research Field Mathematics History » History of science Researcher Profile First
M/F researcher "Goal-Oriented Multi-Fidelity Strategies for the Prediction of Turbulent Flows"

CNRS | Rive de Gier, Rhone Alpes | France | 3 months ago

4 Jul 2026 Job Information Organisation/Company CNRS Department Laboratoire des Ecoulements Géophysiques et Industriels Research Field Engineering Chemistry Physics Researcher Profile First Stage

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24 phd-exercise-science PhD positions at CNRS

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PhD position (M/F) - Study of the Higgs boson and its self-coupling in the H → γγ and HH → bbγγ channels using deep learning techniques with the ATLAS experiment at the LHC collider at CERN.

PhD in Machine learning emulation of Antarctic ice-shelf cavities (M/F)

PhD student (M/F) Frugal diagnostics and fault isolation in reconfigurable multi-source microgrids

M/F researcher "Goal-Oriented Multi-Fidelity Strategies for the Prediction of Turbulent Flows"

Searches related to phd exercise science