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MASTER
TRANSVERSAL TRAINING
CARe aims to propose an internationally attractive training associating MASTER degree through innovative scholarship programs and a disruptive transdisciplinary educational offer in English.
SOME DETAILS
SYLLABUS: MASTER 1
WORKSHOPS (3)
- Cancer / Ageing research updates B. Ségui & Ph. Valet
UPGRADING LEARNINGS (DEPENDING ON THE STUDENT ORIGINS)
- INFO: Basics in computational sciences and data management
- BIO 1/2: Basics in biology/health
- MATH: Basics in mathematics for living sciences
- PHYS: Basics in physics for living sciences
MANDATORY LEARNINGS
- OMICS (6): Large scale acquisistion and analysis in DNA/RNA/proteins/lipids/metabolites N. Davezac
→ OMICS
- CANCER & AGEING (3): Shared and interactive mechanisms in cancer and ageing C. Dray & B. Ségui
- COMPUTER SCI. (6): Analysis and learning in massive data: from basic data to a readable and useful N. Davezac
OPTIONAL LEARNINGS
- IMAGING (3): Exploring living by imaging V. Lobjois
- PHARMACOLOGY 1 (3): New pharmacological strategies for the study of living C. Dray & Ph. Valet
- BIO- INGENEERING (3): Technologies for life sciences: theoretical aspects. Imaging for life sciences.V. Lobjois
- PHARMACOLOGY 2 (3): Innovative pharmacological strategies and therapeutic outcomes B. Guiard & Ph. Valet
- CELL BIOLOGY (6): From basic research to emerging therapies J-C. Pagès & B. Ségui
- TRANSLA. RESEARCH (6): Fundamentals in translational research L. Keller & S. Trudel
SYLLABUS: MASTER 2
WORKSHOPS (3)
Cancer / Ageing research up-dates B. Ségui & Ph. Valet
MANDATORY LEARNINGS
- BIOTHERAPIES: Techno for life sciences a practical approache V. Lobjois
- CANCER 1: Antitumoral therapies F. Thomas & F. Dalenc
- BIOSTAT INDUST.: Applied biostatistics: analysis of medical science data M. White-Koning
- SCI. INDUST.: Knowledge of companies, business tools, Industrial property, quality & ethics P. Gavard & E. Chatelut
- I.A.: Intelligent digital architecture and data sharing/re-use for predictive medicine R. Vanrullen
→I.A.
- MODELS: Modeling & simulation: contribution of mathematics, computer science and physics. V. Lobjois
- AGEING 1: New challenges & specificities of clinical research in gerontology C. Dray & S. Guyonnet
OPTIONAL LEARNING
- CANCER 2: Oncogene & tumor suppressor genes, microenvironment & emerging therapies G. Favre
- ONCO: Clinical trials in onco-hematology F. Despas-E.Chatelut
- AGEING 2: Cancer and ageing C. Dray
- NEURO: Neurodegenerative processes C. Florian & MC Miquel