Post-Doctoral Research Visit F/M Post-Doctoral Position in computational biology and biomechanics
Detail de l'annonce :
_Le descriptif de l’offre ci-dessous est en Anglais_
TYPE DE CONTRAT : CDD
NIVEAU DE DIPLÔME EXIGÉ : Thèse ou équivalent
FONCTION : Post-Doctorant
CORPS D'ACCUEIL : Ingénieur de Recherche (IR)
A PROPOS DU CENTRE OU DE LA DIRECTION FONCTIONNELLE
Grenoble Rhône-Alpes Research Center groups together a few less than
650 people in 35 research teams and 8 research support departments.
Staff is localized on 5 campuses in Grenoble and Lyon, in close
collaboration with labs, research and higher education institutions in
Grenoble and Lyon, but also with the economic players in these areas.
Present in the fields of software, high-performance computing,
Internet of things, image and data, but also simulation in
oceanography and biology, it participates at the best level of
international scientific achievements and collaborations in both
Europe and the rest of the world.
CONTEXTE ET ATOUTS DU POSTE
Do we understand embryonic development? In 1994, the famous
embryologist Lewis Wolpert wondered “WILL THE EGG BE COMPUTABLE?“
Can we today combine numerical models that embody the fundamental
physical and chemical principles governing cell function with
quantitative descriptions of the biochemical and spatio-temporal
features of the system? Generic multiscale modelling frameworks are
starting to link gene expression to morphogenesis [Delile 2017,
Marin-Riera 2016], but the connection between these frameworks and
accurate natural observations remains a major bottleneck, which
severely impairs the parametrization of the models. In addition, in
spite of spectacular improvements, OBSERVATIONS STILL CONTAIN
EXPERIMENTAL ERRORS AND ONLY SAMPLE PART OF THE DEVELOPMENTAL PROGRAM
“SPACE”: their temporal resolution is limited, the studied
individuals incompletely represent natural diversity and many
parameters remain impossible to measure.
The objective of this project is to develop an INTEGRATED MODELING
PLATFORM USING MULTI-SCALE DATA ASSIMILATION to overcome the
challenges of morphogenesis modeling which integrates the molecular
and genetic interaction networks with the cellular dynamics and tissue
mechanics. This platform will contribute to a better understanding of
the relative contributions of genetic and stochastic processes within
cellular morphological processes [Little 2011].
This approach by data assimilation needs to integrate large amounts of
multi-scale data describing the particularly simple and reproducible
ascidian embryogenesis, from genome sequence to the dynamics of
individual cell shapes.
* The genetic program has been studied for the past 20 years, and the
results are represented in the ANISEED world-wide ascidian model
organism database, developed by the Lemaire team.
* The morphogenetic program of multiple individual live embryos,
observed with subcellular resolution with lightsheet microscopy,
followed by image segmentation, which we have pioneered [Faure 2016,
Guignard 2020].
* The experimental or computational inference of the cellular forces
that drive morphogenesis, which we are describing in collaboration
with the Asnacios (U. Paris, France), Mani (Northwestern U., USA) and
Munro (U. Chicago, USA) teams.
MISSION CONFIÉE
The post-doc will be based at LIRMM (Laboratoire d’Informatique, de
Robotique et de Microélectronique de Montpellier) and will directly
work under the supervision of E. Faure, with frequent interactions
with the neighboring experimental and computational scientists of the
Lemaire team. Both teams are well funded and have the required
experimental and computational means to support the project. The
recruited scientist is expected to also establish strong interactions
with our national and international collaborators. The University of
Montpellier has a vibrant interdisciplinary academic community. This
recruitment is supported by the iSite Montpellier University of
Excellence.
PRINCIPALES ACTIVITÉS
Faure Team :
https://www.lirmm.fr/~efaure/,
Lemaire Team : https://www.crbm.cnrs.fr/team/lemaire/?lang=en,
LIRMM : https://www.lirmm.fr ,
CRBM : https://www.crbm.cnrs.fr, MorphoNet : https://morphonet.org,
Aniseed : https://www.aniseed.cnrs.fr,
MUSE : https://muse.edu.umontpellier.fr/en/muse-i-site, Montpellier
City : https://www.montpellier.fr
CONTACT: Please send CV, a motivation letter and two letters of
recommendation to Dr. Emmanuel Faure (emmanuel.faure@lirmm.fr ) and
Dr. Patrick Lemaire ( patrick.lemaire@crbm.cnrs.fr ).
REFERENCES :
* L. Wolpert, (1994). _Do we understand development? _Science. 266,
571–572
* J. R. Karr et al (2012). A _Whole-Cell Computational Model
Predicts Phenotype from Genotype_. Cell. 150, 389–401
* J. Delile, M. Herrmann, N. Peyriéras, R. Doursat, (2017). _A
cell-based computational model of early __embryogenesis coupling
mechanical behaviour and gene regulation. _Nature Communications. 8,
13929
* Little S.C. & Wieschaus E.F. (2011) _Shifting patterns: merging
molecules, morphogens, motility, and __methodology_. Developmental
cell, 21(1):2-4.
* M. Marin-Riera, et al (2016). _Computational modeling of
development by epithelia, mesenchyme and their __interactions: a
unified model. _Bioinformatics. 32, 219–225
* Guignard L. Fiúza UM et al (2020). _Contact Area-Dependent Cell
Communication and the Morphological __Invariance of Ascidian
Embryogenesis_. Science July 2020.
* Faure, E., Savy, T., Rizzi, B. et al. (2016)_. A workflow to
process 3D+time microscopy images of developing __organisms and
reconstruct their cell lineage_. Nat Commun 7, 8674 (2016).
* Leggio, B., Laussu, J., Carlier, A. et al. (2019). _MorphoNet: an
interactive online morphological browser to __explore complex
multi-scale data_. Nat Commun 10, 2812
* Leggio et al (2020) _Multiscale mechanical model for cell division
orientation in developing biological __systems. _bioRxiv 785337; doi:
10.1101/785337
COMPÉTENCES
Motivation to apply this knowledge to biology is required. Prior
experience with biological data analysis.
The candidates should have a PhD, or equivalent, with an excellent
track record of achievement and less than 5 years of post-doctoral
experience..
AVANTAGES
According to the employer's benefits
RÉMUNÉRATION
According to the employer's salary scale : LIRMM UMR 5506