15 machine-learning-phd Postdoctoral research jobs at CNRS

Post-doc position on AI-augmented boundary plasma modelling for turbulent transport simulations in WEST and ITER tokamak (M/F)

physics or computer science, with a solid background in AI/machine learning techniques. A background in plasma transport phenomena as well as an experience with data analysis, statistical methods, and

Post-doctoral researcher or researcher in sea ice/ocean/atmosphere modeling and prediction (M/F)

or oceanography. Research background should demonstrate competence -- or at least a clear and strong interest -- in artificial intelligence and machine learning to be applied in the field of environmental sciences

Postdoctoral Researcher Position in Quantum Neuromorphic Computing with Superconducting Circuits(M/F)

. Fujii, K. & Nakajima, K. Harnessing disordered-ensemble quantum dynamics for machine learning. Phys Rev Appl 8, 024030 (2017). 2. Rudolph, M. S. et al, Generation of High-Resolution Handwritten Digits

Postdoc in materials science (experimental study and DFT calculation) (M/F)

or as materials for transportation. Intensive calculations within the framework of density functional theory (DFT) will provide the basis for building machine-learning models to explore the range

Researcher specialized in electrode materials and battery cells M/F

the relationships between manufacturing parameters and battery cell performance. The collected data and the unraveled insights will be used to calibrate and validate pioneering physical and machine learning models

Postdoctoral position on ATLAS (M/F)

into subtle effects in diboson channels and is expected to co-supervise a PhD student studying polarisation effects in diboson events, using machine learning techniques. The group has expertise in data

Postdoc (M/F) in Physics-Informed Machine Learning for EEG neuroscience data

academic knowledge of the field, evidenced by a PhD thesis in computer science, physics or computational biology/neuroscience - good programming skills in Python, development and evaluation of machine

Machine Learning and Climate Extreme Postdoc (M/F)

changeYears of Research ExperienceNone Additional Information Eligibility criteria PhD. Statistics skills, especially in extreme values theory and Machine Learning. Mastering English is compulsory. Mastering

Post-doctoral researcher (M/F) on generative model applied to calorimeter simulationodèle génératif appliqué à la simulation calorimétrique

simulation or machine learning. Experience with HEP simulation with generative models would be a plus. Applicants must also demonstrate teamwork skills and an ability to fit in a multidisciplinary scientific

Post-Doctoral Researcher (M/F) in Medical Image Processing and Artificial Intelligence

innovative methods for processing and analyzing MRI images (3 Tesla and 7 Tesla) of various modalities and formats (NIFTI, DICOM, etc.) using machine learning and artificial intelligence techniques. The aim is