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Reference : UMR7178-REGSOM-026
Workplace : STRASBOURG
Date of publication : Monday, August 12, 2019
Scientific Responsible name : Christine Carapito
Type of Contract : PhD Student contract / Thesis offer
Contract Period : 36 months
Start date of the thesis : 1 October 2019
Proportion of work : Full time
Remuneration : 2 135,00 € gross monthly
Description of the thesis topic
Development of proteomic analysis methods for the identification of biomarkers of neurodegenerative diseases, in particular for Amyotrophic Lateral Sclerosis (ALS).
Objectives of the thesis :
The PhD student will setup sample preparation methods dedicated to the analysis of the total proteome and phosphoproteome of human and mouse model tissues and cerebrospinal fluid (CSF).
He/she will then develop analysis methods on nanoliquid chromatography-mass spectrometry instruments to investigate these proteomes and phosphoproteomes at large scale.
Finally, he/she will develop data interpretation workflows foreseen for the integration of proteomics and phosphoproteomics data with other –omics data (transcriptomic and metabolomic) data that will be acquired on the same samples by partners of the project.
The developed methods will be applied to large human (>100) and mouse (>200) tissue samples and biological fluids cohorts.
The PhD student will also actively participate to the biological interpretation of the data after the generation of this important and large dataset.
The PhD will be attached to the Doctoral School of Chemical Sciences of the University of Strasbourg (ED222).
The PhD student will join the LSMBO team of the IPHC and will be able to benefit from all the material conditions (LC-MS / MS instrumentation), human support (sharing of expertise) and IT (access to all the software tools for the processing of LC-MS / MS data) necessary for the successful completion of this thesis project.
The thesis will take place in the context of a European research program (E-Rare MAXOMOD project). Thus, the PhD student will have to collaborate / exchange results with all the partners of this international consortium.
Constraints and risks
-Casual work in staggered schedule
-Work in an ISO 9001 certified environment
The candidate must hold a master's and/or engineering degree.
He/she will need to prove a solid knowledge of protein biochemistry, in mass spectrometry and chomatography. A strong interest for bioinformatics, data processing and knowledge of a programming language will be an advantage.
The candidate will have to master English fluently in writing and orally in order to be able to write results reports and present them at meetings of the Maxomod consortium.
The international, multidisciplinary and collaborative context of this project requires that the candidate has a strong motivation, curiosity to expand his area of expertise, autonomy and ability to work in a team with strong constraints to meet deadlines.
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