- PhD offer
Title: “Investigating redox proteomics to highlight putative biomarkers of frailty”
Keywords: Redox homeostasis – Frailty – Aging – Mass spectrometry – Redox proteomics – Computational analyses.
Entry requirements :
- A highly motivated student with a special interest in the research area of metabolism regulation.
- Engineer or Master's degree in analytical sciences or biology (M2 or equivalent).
- Candidate must have a strong training in biochemistry (Mass Spectrometry-based approaches for global characterization of proteomes and interactomes).
- Solid knowledge in statistical and bioinformatics methods will be appreciated.
- Experience on metabolism and murine models will be considered.
- B2 levels in French and English languages are required.
Personal qualities :
- Capacity of working transversely with pluridisciplinary teams
- Excellent communication and organizational skills
- Motivated by collaborative work between a french and an american lab.
- Open minded
Application process :
- Curriculum vitae including ranking at various university levels and, if relevant, list of publications, communications and/or prizes.
- Summary of research experience (no more than one page).
- Contact details for two referees.
Selection process :
A first round of selection will be performed based on documents sent by candidates. Selected candidates will be interviewed by the PhD supervisors (Dr Ader I, Dr Carrière A, and Dr Chouchani E). At the end, funding for this doctorate will be awarded by oral competition in the middle of October.
During the PhD program, the student will be sharing his working time within both Restore and the Harvard laboratories.
Contact : firstname.lastname@example.org
- Doctoral student in multidisciplinary research: Physiopathology and mathematical data processing :
Main scientific field: Applied Mathematics – Deep Learning Data Sciences
Secondary scientific field: Pathophysiology, Regenerative Medicine, Aging
Description of the subject :
The ultimate goal of the overall project is to build a 3D numerical simulation model to identify, mimic and study the self-organizing endogenous mechanisms of post-traumatic or aging tissue reconstruction in adult mammals. The types of self-organization prevalent in an equilibrium adult tissue and in a tissue under construction are
similar to the different phases of a physical system. Built on a functional, integrative and synthetic vision, the project will rely on the combination of rule-based agent-type heuristic models with sophisticated imaging techniques. The models made as user-friendly as possible will be used to define a list of key determinants involved in triggering phase transitions and reaching a new state of equilibrium. Biological experiments will be conducted in the laboratory to calibrate the models and to test, validate and improve the underlying model assumptions using state-of-the-art methodologies, particularly in imaging and image processing. The validated hypotheses will be pharmacological targets likely to allow complete tissue regeneration or reversion of tissue degeneration that occurs during aging.
Contact : email@example.com