Machine Learning, Statistical Learning, Cancer Bioinformatics
The Cancer Research Center of Marseille (CRCM) is the basic science and translational research unit of the IPC (http://www.institutpaolicalmettes.fr/en/research/). Also affiliated to INSERM, CNRS and Aix-Marseille University, the 400 researchers working at the CRCM form a strongly multi-disciplinary research environment characterized by frequent and close collaborations with IPC clinicians. IPC is a member of the UNICANCER network (http://www.unicancer.fr/en/unicancer).
This project will investigate the application of Artificial Intelligence, and especially its Machine Learning (ML) component, to Precision Oncology (PO). PO is a form of medicine that uses personal information to prevent, diagnose and treat cancers. Here we focus on the PO topic of how to predict which cancer patients will respond to a given drug treatment from the molecular profiles of their tumours. Importantly most PO-based strategies have been developed for a targeted therapy, i.e. a drug rationally designed to disrupt specific survival and/or proliferation pathways in tumour cells. Yet, conventional cytotoxic agents, which remain a major cornerstone of treatment for a large number of advanced cancers, are most frequently prescribed empirically without molecular selection. Similarly, robust molecular predictors of immunotherapy, an emerging therapeutic approach which has already revolutionised the management and prognosis of an increasing number of malignancies, are still warranted. We will thus investigate how to best leverage tumour molecular profiles to predict response to cytotoxic agents in addition to targeted therapies (including immunotherapies). The project will be carried out using new existing and forthcoming patient data from clinical trials.
What we offer
The successful candidate will register as a PhD student and receive a gross monthly salary of about €1760 for three years to cover accommodation, subsistence and registration fees (ca. €400 per year). This is an exciting opportunity for a highly motivated and diligent scientist to carry out a PhD project on a timely data science problem of great therapeutic importance. The results of this project will be applied to clinical research case studies in collaboration with Professor Anthony Gonçalves, head of the department of Medical Oncology at the IPC, who will co-supervise the student.
The student will join the Ballester team at the CRCM. S/he will have the opportunity to improve current skills further and also acquire new skills in the analysis of molecular tumour profiles and clinical pharmacogenomics modelling. All the PhD students in this team have projects in related areas and develop/use somewhat similar methods, so the student will have plenty of in situ help to get started. In terms of quality of life, the CRCM is located in Marseille and thus the student will enjoy living in an exciting multi-cultural city at the French Mediterranean coast.
QUALIFICATIONS/SKILLS/EDUCATION & RESEARCH REQUIREMENTS
Selection criteria - Essential
Selection criteria - Desirable
1st June, 2021
01 October, 2021
REQUESTED DOCUMENTS OF APPLICATION
How to apply
Candidates must send an email with their CV, grades for each held university degree and a covering letter (maximum two pages) to email@example.com with subject line “ANR PhD scholarship”. This letter must explain how they meet the essential selection criteria, which desirable selection criteria are also met and how this position would fit in their future career plans. This email must also state the names and emails of two scientists involved in assessing their academic performance, who are willing to provide a reference. Please also mention in the letter where did you see this position advertised.
CONTACT TO APPLY
Application Form: https://college-doctoral.univ-amu.fr/en/node/add/aap-aidocApprenez-en davantage
|Intitulé||PhD scholarship in Machine Learning for Precision Oncology|
|Job location||Jardin du Pharo 58, bd Charles Livon, 13284 Marseille|
|Publié||mars 31, 2021|
|Date limite d'inscription||juin 1, 2021|
|Types d'emploi||PhD  |
|Domaines de recherche :||Biomédecine,   Recherche en cancérologie,   Sciences cliniques,   Bioinformatique,   Oncologie,   Biologie moléculaire,   Biologie cellulaire,   Intelligence artificielle,   Informatique dans les mathématiques, les sciences naturelles, l'ingénierie et la médecine,    and 4 more. Pharmacie et pharmacologie,   Biologie computationnelle,   Apprentissage automatique,   Médecine moléculaire  |