Numerical biology M/F

23 Feb 2024
Job Information

Organisation/Company

CNRS

Department

Direction des ressources humaines

Research Field

Other

Researcher Profile

First Stage Researcher (R1)

Country

France

Application Deadline

20 Mar 2024 - 23:59 (UTC)

Type of Contract

Other

Job Status

Full-time

Hours Per Week

35

Offer Starting Date

23 Feb 2024

Is the job funded through the EU Research Framework Programme?

Not funded by an EU programme

Is the Job related to staff position within a Research Infrastructure?

No

Offer Description

This Chair is part of the "Digital & Health" topic. Research on health, and more specifically oncology, is one of the main domains which are deeply modified by informatics. How can we better detect certain tumors? Can we predict their evolution or response to treatment? How to elaborate politics and recommendations to improve the quality of life of patients during treatments? Thanks to its multi-disciplinary nature, CNRS is well placed to respond to these challenges: the massive use of information technologies and health data in oncology, personalization of medical decisions, not to mention the development of new technological tools and implementation of innovative theranostic strategies.
Unlike learning algorithms, for which it is often impossible to understand the precise details of their decisions, simulation models have a considerable advantage: they are reliable and explainable. All the results obtained at the various modeling stages are checked in vitro and in vivo in laboratory to argue hypotheses. The goal is to develop algorithms that can be explained and traceable in order to provide researchers and practitioners with rational and relevant theranostic approaches.
This position is intended to highlight areas of application related to particularly strategic issues at the national and international level.

The CRAN (CNRS/Université de Lorraine) in Vandœuvre-lès-Nancy is an interdisciplinary lab laboratory recognized for research in oncology, developing cutting-edge research in spectroscopic imaging and medical instrumentation. It brings together professors, researchers, and medical practitioners from CHRU and ICL (Institute of Cancerology of Lorraine). Department BioSiS of CRAN laboratory generates experimental and clinical biological data and is primarily located at the interface of digital, physics, biology, and clinical data. BioSiS Department (Biology, Signals, and Systems in Cancerology and Neuroscience) of CRAN differentiates itself in photophysics/photo- and radio-biology through its ability to initiate and lead research issues at the interface of biological and digital sciences. The research not only applies but also stems from clinical data in the field of oncology.

The general oncology goal of this project is to develop therapeutic methods through the mechanistic characterization of biological responses, modeling of radiation-tissue interactions and related image processing. The aim is to better understand, predict and control plasticity and cellular/tissue dynamics of tumors by integrating their environment when they are subjected to standard treatments (including surgery, chemo- and radio-therapy), or to innovative strategies combining, for instance, internal radiotherapy. More specifically, we need to consider the tumor environment in its entirety and with all its specificities. To achieve this, a number of disciplinary and multidisciplinary challenges have to be addressed:
. Development of numerical tools able to account for tumor progression and response to treatment;
. Optimization of combination therapies involving ionizing radiation with nanoparticles or even internal radiotherapy, based on integrative dosimetry (physical, biophysical and biological) for better tumor control.

The activities of the person recruited will form part of the Université de Lorraine's training dynamic, through programs of specialized teaching activities in the fields of digital technology and health. Depending on his/her profile, the person recruited will be able to take part in both Biology, Medicine and Health (BMS) and Automatics, Mathematics, Computer Science and their Interactions (AM2I) training programs.

The CNRS is developing a strong policy in favor of open science. Open science consists of making research results "as accessible as possible and closed as necessary". As such, the CNRS aims to make 100% of the texts of publications resulting from the work of its laboratories accessible , in particular through deposit in HAL. The data produced must also be made available and reusable, except for specific restrictions. In addition, the guiding principles of individual evaluation have been revised in accordance with the DORA declaration, to be more qualitative and to take into account all facets of the researcher's profession.

The dissemination of the results will be done through world-class scientific productions: publications, patents, software... In addition, the results will be communicated to various targets such as scientific communities, media, decision makers, general public, schools, etc., with an adapted calendar. Specific tools may be developed such as websites, newsletters, meetings, international symposia, summer schools and conferences.

The relationship between science and society is now recognized as a full dimension of scientific activity. The project will develop this dimension in synergy with all the partners. The resulting research work will contribute to informing public decision-making. Participatory science initiatives may be initiated with actors from the project's socio-economic and cultural eco-system.

Requirements
Additional Information
Eligibility criteria

holders of a doctorate or a PhD or equivalent degree or applicants who have gained scientific. There is no restriction on the age or nationality of applicants. All CNRS positions are accessible to people with disabilities, with special arrangements for tests made necessary by the nature of the disability.

Website for additional job details

https://emploi.cnrs.fr/Offres/CPJ/CPJ-2024-031/Default.aspx

Work Location(s)

Number of offers available

1

Company/Institute

Direction des ressources humaines

Country

France

Geofield

Where to apply

Website

https://emploi.cnrs.fr/Candidat/Offre/CPJ-2024-031/Candidater.aspx

STATUS: EXPIRED