Job offer

European Commission; France; Sur place; EUR 30 000 - 40 000; Plein temps

Résumé du poste

Le CNRS recherche un chercheur de premier niveau dans le domaine de la santé numérique, avec un accent sur la recherche sur le cancer. Le poste implique l'analyse de grandes bases de données et le développement de méthodes innovantes en modélisation et imagerie. Le candidat sera impliqué dans des projets multidisciplinaires et aura l'opportunité de contribuer à des décisions médicales personnalisées.

Prestations

Les postes sont accessibles aux personnes handicapées

Accommodations fournies pour les évaluations nécessaires

Qualifications

• Titulaire d'un doctorat dans un domaine pertinent.
• Expérience en recherche dans le domaine des technologies numériques et de la santé souhaitée.

Responsabilités

• Développer des méthodes thérapeutiques via la caractérisation des mécanismes biologiques.
• Modéliser les interactions radiation-tissu et traiter des images.
• Contribuer aux programmes de formation de l'Université de Lorraine.

Connaissances

Analyse de données

Modélisation mathématique

Interaction avec les praticiens

Formation

Doctorat ou équivalent

Description du poste

Organisation/Company: CNRS
Department: Direction des ressources humaines
Research Field: Engineering, Computer Science, Mathematics
Profile: First Stage Researcher (R1)
Country: France
Application Deadline: 14 Jul 2025 - 23:59 (UTC)
Type of Contract: Other
Job Status: Full-time
Hours Per Week: 35
Offer Starting Date: 23 Jun 2025
Is the job funded through the EU Research Framework Programme? No
Is the Job related to staff position within a Research Infrastructure? No

Offer Description

This Chair is part of the "Digital & Health" topic. The field of health, especially cancer research, is profoundly impacted by computer science. Key questions include detection and prediction of tumours, understanding their development and response to treatment, and improving patient quality of life during therapy.

Cancer research centres are integrating computational sciences, including mathematical modelling, statistics, and computer science, to analyze large data sets and develop new analysis methods, especially for technologies like sequencing and biological imaging.

CNRS's multidisciplinary approach addresses these challenges through the use of digital and biological data in cancerology, personalized medical decisions, technological tool development, and explainable algorithms for simulating and implementing innovative theranostic strategies.

The CRAN is renowned for its research in computer sciences and interdisciplinary cancer research, especially in spectroscopic imaging, medical instrumentation, and nanotechnologies. It collaborates with hospital practitioners from CHRU and ICL, and its BioSiS department produces experimental and clinical biological data at the interface of digital sciences, radiophysics, photophysics, cell biology, and clinical data, with a focus on photophysics/photo- and radiobiology.

The project aims to develop therapeutic methods via multi-scale characterization of biological response mechanics, modeling radiation-tissue interactions, and image processing. The goal is to understand, predict, and control tumour plasticity and dynamics, integrating environmental factors during treatments or innovative strategies. The methodological focus is on observing, characterizing, and simulating multi-scale biological or biophysical phenomena using ex vivo models, which will support therapeutic decision-making and treatment optimization.

The recruited individual's activities will contribute to the Université de Lorraine's training programs in digital technology and health, with potential participation in Biology, Medicine and Health (BMS), and Automatics, Mathematics, Computer Science and their Interactions (AM2I).

CNRS promotes open science, aiming for accessible research results through open publication and data sharing, with restrictions only where necessary. Results dissemination will include publications, patents, software, and communication to various audiences via websites, newsletters, conferences, and symposia.

The project emphasizes the societal role of science, aiming to inform public decision-making and foster participatory science initiatives with socio-economic and cultural stakeholders.

Applicants must hold a doctorate or equivalent, with no restrictions on age or nationality. CNRS positions are accessible to people with disabilities, with accommodations for necessary assessments.