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Phd Scholarship in Computational Tools to Analyse

hace 3 meses


Barcelona, Barcelona, España Somm Excellence Alliance A tiempo completo
Scientists have been studying the heart and the brain for centuries but mainly at the individual organ level.

There is a need for a more systemic approach to study some neurological and cardiovascular processes that remain not well understood.

A good example is Alzheimer's disease (AD), one of the most important healthcare challenges of our society.

There is strong evidence on the relevance blood flow anomalies in brain aging, but they have rarely been studied together with a systemic approach based on mechanistic models.


The aim of this project is to create a computational platform, linking heart and brain systems, to test the influence of the cardiovascular system on brain aging in normal and abnormal conditions.

It will include data science (e.g., artificial intelligence) techniques, and biophysical multi-scale models to identify different trajectories, including cardiovascular insults.

Advanced visual analytics tools will also be developed for scientific dissemination and promote healthy aging life.

Requirements:

Starting date (planned): Academic course

Application deadline:
June 30th


The PhySense group and the BCN-MedTech unit form an ideal environment for training early-stage researchers, as has been confirmed during the last years by Spanish and European agencies.

All PhD students have large office spaces and their own desk with networked computers, appropriate software, access to state-of-the-art equipment, excellent library and information services, language and scientific communication training and cultural/sport services.

Our PhD students usually get maximum thesis qualifications, with publications in high impact journals.

We provide interdisciplinary doctoral training aimed at educating academic persons with the required skills and flexibility to function and perform in a broad range of employment opportunities in a clinical, academic, or industrial environment, in the field of Biomedicine and Bioengineering.


Deadline:
June 30, 2023

Job category:
PhD Student

Area:
Maths, Experimental Sciences and Engineering