Sort by
Refine Your Search
-
Category
-
Program
-
Field
-
research and soft robotics development. PhD project The PhD project will focus on the technical aspects of simulating the physics of the Drosophila larva body. The primary objectives include: Developing a
-
exciting opportunities for machine learning to address outstanding biological questions. The PhD student to be recruited will be working on the development of machine learning methods for single-cell data
-
to obtain funding for PhD students. In parallel, applications to FRM and/or Pasteur-MD-PhD-PPU program will be also encouraged. Opportunities for Interdisciplinary Training: Depending on the candidate’s
-
laboratory and collaborative meetings. Collaborate actively with scientists performing wet bench experiments (PhD, postdocs). Interact productively with other bioinformatic engineers or researchers on Institut
-
. Responsibilities will include: Developing expertise in audiological test batteries Data wrangling, cleaning, and feature engineering Applying and implementing statistical or machine learning methods, depending
-
ear gene therapy. The characterization of gene regulatory elements and gene regulatory networks is essential for this purpose. The candidate will use computational methods to develop and integrate novel
-
of their career developing state-of-the-art statistical and mathematical methods to analyze epidemic data, with the aim to increase our understanding of how pathogens spread in populations, assess the impact of
-
of preclinical murine model of melanoma responsive or not to ICI. Specific objectives and methods The specific objectives of the M2 are: 1°) To identify which DC population undergo dynamic changes during ICI
-
methods to decipher the transformation of sounds both at the peripheral and central levels. Project summary The aim of this project is to study how information about sound frequency or intensity
-
methods for single-cell data analysis (tools developed by the team : https://github.com/cantinilab ). Single-cell high-throughput sequencing, extracting huge amounts molecular data from a cell, is creating