General information
Offer title : M/F postdoctoral researcher - data scientist for machine learning data analysis from extracellular vesicle multimodal characterization (H/F)
Reference : UMR7057-KELAUB-001
Number of position : 1
Workplace : PARIS 06
Date of publication : 14 October 2024
Type of Contract : FTC Scientist
Contract Period : 12 months
Expected date of employment : 1 January 2025
Proportion of work : Full time
Remuneration : Between € 3080 and € 4756 gross per month.
Desired level of education : Niveau 8 - (Doctorat)
Experience required : 1 to 4 years
Section(s) CN : Information sciences: processing, integrated hardware-software systems, robots, commands, images, content, interactions, signals and languages
Missions
We are seeking an extremely motivated rigorous researcher to integrate an ambitious multidisciplinary team aiming to develop, validate and optimize multimodal Machine Learning approaches that could be applied either for automated quality control of therapeutic extracellular vesicles (EVs) or for automated diagnostic workflow based on the analysis of biofluids.
Activities
The candidate will dispose of multimodal database, especially coming from analytical separation based on asymmetric flow-filed flow fractionation (AF4) corresponding to data generated with the different instruments of the IVETh core facility. The goal will be to validate / develop pre-processing algorithms, implement methods such as automated feature selection, binary / multiclass classification, clustering. One of the main objectives will be to generate a user-friendly characterization toolbox allowing to evaluate (1) each modality separately (Raman spectroscopy, AF4, NTA, etc.) and (2) multiple modalities by concatenating or bagging the multimodal data, in order to (3) identify the modality.ies offering the highest performance for therapeutic of diagnostic purposes implicated in the European ERDERA project (https://erdera.org/) focused on the diagnosis and treatment of rare diseases.
Skills
Expertises in programming, Machine Learning, data analysis are mandatory. Background in, biomedical research and signal treatment will be highly appreciated.
Work Context
The MSC-med antenna (https://msc-med.u-paris.fr/) of the MSC lab (for Matière et Systèmes complexes) dedicated to physics / medicine / innovation interface, was created in 2018 on the Saint Germain campus (rue des Saints Pères). In 2019, MSC-Med launched its expertise facility IVETh (https://iveth.u-paris.fr/), labeled as national industrial integrator biotherapy-bioproduction in 2022. MSC-Med and IVETh are implicated in a PEPR project, STOMAEV « From engineering of iPS-derived mesenchymal stromal cell-derived extracellular vesicles to clinical translation ». IVETh is the first facility entirely dedicated to the production, engineering and characterization of extracellular vesicles for diagnostic and therapeutic purposes. The ambition of IVETh are to gather multidisciplinary expertises around EVs through a technological hub open to industrial and academic research. IVETh is also promoting scientific and technological trainings with a particular focus on innovation. The postdoctoral researcher will be integrated to the IVETh scientific team.
Additional Information
This position is located in a sector covered by the protection of scientific and technical potential (PPST) and therefore requires, in accordance with the regulations, that your arrival be authorized by the competent authority of the MESR