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Damien Depannemaecker

Unknown Organization
Institut de Neuroscience des Systèmes (INS), Théoretical Neuroscience Group (TNG), Faculté de Medécine, Aix-Marseille Université, 27, Boulevard Jean Moulin, 13005 Marseille, France
Apply by Sep 26, 2025

Application deadline

Sep 26, 2025

Job

Job location

Damien Depannemaecker

Geocoding

Institut de Neuroscience des Systèmes (INS), Théoretical Neuroscience Group (TNG), Faculté de Medécine, Aix-Marseille Université, 27, Boulevard Jean Moulin, 13005 Marseille, France

Geocoding in progress.

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Quick Information

Application Deadline

Sep 26, 2025

Start Date

Flexible

Education Required

See description

Experience Level

Not specified

Job

Job location

Damien Depannemaecker

Geocoding

Institut de Neuroscience des Systèmes (INS), Théoretical Neuroscience Group (TNG), Faculté de Medécine, Aix-Marseille Université, 27, Boulevard Jean Moulin, 13005 Marseille, France

Geocoding in progress.

Source: legacy

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Job Description

For causal estimation in brain pathological conditions, models offer crucial insights into neurophysiological mechanisms. Model-based inference involves constructing a statistical or mechanistic model that captures the essential features of the data-generating process. In this context, simulation-based inference (SBI) using deep neural networks provides an invertible map between parameters and data features. Therefore, there is a need to automatically extract the low-dimensional informative data features, to train the neural networks, the so-called Normalizing-Flows. In this project, our goal is to utilize machine learning algorithms to provide input into the SBI pipeline. The data for this project will be, simulated data from models at different scales and corresponding electrophysiological data such as patch-clamp and intracranial stereoelectroencephalography (SEEG) recordings. The objective is to classify seizure onset and bifurcation patterns from the complex biophysical models. The trainee will benefit from the support of the various skills available within our teams.

Requirements

  • Send a CV
  • motivation letter
  • and two letters of recommendation

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