PARENT-ESR7 : Machine Learning to identify significant biomarkers for early diagnose of NDD in premature infants
ESR7 position within PARENT project aims at developing AI / ML models to identify significant biomarkers for early diagnosis of NDD in premature infants.
Specifically, the project will focus on the following objectives :
Familiarization with the most common and cutting-edge statistical and ML techniques for health data analysis in this specific context.
Developing and applying AI / ML methods based on heterogeneous data sources (features derived from images, clinical data, well-known genetics and molecular fingerprints related to NDD) in order to make more accurate predictions.
Extending the developed approaches considering further information of related traits like congenital heart disease (CHD) to improve early diagnosis of NDD.
International mobility of researchers is a key concept within the MSCA ETN framework. As such you participate in international meetings, workshops and a secondment programme.
You want to tell the world about your novel findings with attractive posters, sparkling presentations and high quality papers.
REQUIRED EDUCATION LEVEL Computer science : Master Degree or equivalent
REQUIRED LANGUAGES ENGLISH : Excellent
Skills / Qualifications
Academic Degree 1 : Bachelor’s or Engineering Degrees in Computer Engineering, Telecommunication Engineering, Electronics, Bioinformatics, Computational Biology or related fields.
Master’s Degree in Computer Engineering, Information and Telecommunications Technology (ICT), Information Technologies, Data Science, Telecommunications or related fields.
Proven skills (courses, work experience, research projects) with data science related tools like : Machine learning : supervised, unsupervised and reinforcement learning.
Computer vision : image processing, segmentation, etc.Data science : full pipeline (data collection, pre-processing, model training and evaluation).
Precision or personalized medicine : clinical information and any -omic data.Computational biology : gene interaction networks, protein-protein interaction networks, etc.
Additional qualifications : Data science tools : MATLAB, R, Python.Statistical modelling.
In view of the international context, proficiency in the English language is mandatory (B1 or higher).
1 To be included in the doctorate program (University of Cadiz), candidates must fulfil the criteria established in the doctorate program in their current institution.
Usually, a completed course requires at least 300 higher education credits, of which at least 60 higher education credits are second-cycle (Master Degree).