PhD position within H2020 MSCA-ITN-ETN project PARENT: (ESR7) Machine Learning to identify...
University of Cadiz
Algeciras, Spain
hace 4 días
source : Euraxess

Position

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.
  • Offer Requirements

  • 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).

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