1-year position for efficient high-dimensional linear models for neuroimaging data analysis. See more details here: https://team.inria.fr/parietal/files/2017/07/amphi_post_doc.pdf
Great presentations from Parietal at Scipy 2017:
- MNE-python and pyhrf at the neuroscience track on July 12th
- Keynote by Gael Varoquaux on July 13th
More info here: https://scipy2017.scipy.org/ehome/220975/493422/
Don’t miss the following talks:
- What makes a good multivariate model for fMRI-based decoding? by B. Thirion Pattern recognition course
- Estimating Functional Connectomes: Sparsity’s Strength and Limitations by G. Varoquaux in the connectivity course
- In search for functional specificity through large-scale encoding and decoding models by B.Thirion, in the functional specificity symposium
- 1656, on Monday + Tuesday
- 1829, on Monday + Tuesday
- 2949, on Wednesday + Thursday
- 3934, on Wednesday + Thursday
- 4153, on Wednesday + Thurdsay
“L’intelligence artificielle au service de l’imagerie médicale et de la médecine de précision” workshop, Institut Curie, Paris.
- Multi-output predictions from neuroimaging: assessing reduced-rank linear models
Bertrand Thirion; Gael P Varoquaux; Mehdi Rahim*
- Towards a Faster Randomized Parcellation Based Inference
Gael Varoquaux; Andres Hoyos-Idrobo*; Bertrand Thirion
Talk by Guillaume lematre on inbalanced data: https://glemaitre.github.io/talks/2017_PyParis/#1
Joblib by Alexandre Abadie: https://t.co/g7l2OwoLgL
2-Day Workshop : Scientific Programming with Python and Software Engineering Best Practices
L. Estève gave a Travis tutorial at IHP on May 31. More details at http://calcul.math.cnrs.fr/spip.php?article282.
Congratulations to Philippe.