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Complete the following questionnaire for - IC2019_Winter PhD Position in Mathematical Modelling for Cancer Research  (347 KB)

Tracking development of resistance to anti-cancer therapy through mathematical modeling: The goal of the project is to derive an efficient mathematical approach for tracking development of resistance to anti-cancer therapy using genomic information. The proposed project includes statistical analysis of the available real data; building a predictive model and implementing it in the in-house software package; simulations and post-processing of the simulation data. The work will be done in close collaboration with mathematicians at BCAM http://www.bcamath.org/en/research/lines/MSLMS and biologists at CIC bioGUNE https://www.cicbiogune.es/research/groups/molecular.

Machine Learning, Computational Statistics, Bayesian Inference, Enhanced Sampling, Markov Chain Monte Carlo, Hamiltonian Monte Carlo, cancer, resistance to therapy.

PI:Elena Akhmatskaya, Ikerbasque Professor at BCAM http://www.bcamath.org/en/people/eakhmatskaya
PI: Mara dM Vivanco, Principal Investigator at CIC bioGUNE https://www.cicbiogune.es/people/mdmvivanco

NEW Deadline: Apr, 01, 2019 14:00 CET (UTC+1)

((required)) Compulsory field.

Call is CLOSED

Eusko Jaurlaritza - Gobierno Vasco ikerbasque - Basque Foundation for Science Bizkaia xede. Bizkaiko Foru Aldundia innobasque - Agencia vasca de la innovación Universidad del PaÌs Vasco (UPV/EHU)