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Postdoctoral position Artificial Intelligence in Cardiology – AI4HF

Bioinformatics Barcelona

Santander

Presencial

EUR 70.000 - 90.000

Jornada completa

Ayer
Sé de los primeros/as/es en solicitar esta vacante

Descripción de la vacante

A prestigious research institution is offering a postdoctoral position in Artificial Intelligence in Cardiology. This role includes conducting research in AI for healthcare, collaborating internationally, and supervising PhD students. The ideal candidate will have expertise in machine learning and biomedical data science, and excellent programming skills in Python or C++. Competitive salary and flexible working hours are offered.

Servicios

Research experience in a prestigious university
Travel opportunities to scientific events
Support for career development
Flexible working hours
Competitive salary

Formación

  • Experience with machine/deep learning algorithms.
  • Biomedical data science expertise.
  • Medical image analysis skills.
  • Excellent programming skills in Python and/or C++.
  • Proficiency in English, both oral and written.
  • Enthusiasm for research and medical applications of AI.
  • Ability to work independently and lead projects.
  • Good team spirit and active participation in scientific activities.
  • Ability to collaborate with local and international partners.

Responsabilidades

  • Conduct innovative research in AI for healthcare.
  • Develop trustworthy AI solutions for personalized medicine.
  • Collaborate on international and interdisciplinary projects.
  • Supervise PhD students and support career development.
  • Participate in scientific events and meetings.

Conocimientos

Machine learning
Deep learning
Biomedical data science
Medical image analysis
Python programming
C++ programming
Proficient English
Team collaboration

Descripción del empleo

Postdoctoral position Artificial Intelligence in Cardiology – AI4HF

Deadline : 12 / 02 / 2025

Centre / Institution : University of Barcelona

We are offering an exciting postdoctoral position at the University of Barcelona, within the Artificial Intelligence in Medicine lab ( focusing on trustworthy AI solutions for personalized medicine approaches in cardiovascular diseases.

We offer :

  • A research position in beautiful Barcelona with its Mediterranean climate.
  • Research experience within a prestigious university (ranked 1st in Spain).
  • Cutting-edge research in AI for healthcare within a dynamic research group (12 active projects, including an ERC grant).
  • An international environment with a multicultural team representing all continents.
  • Opportunities for collaboration with international and interdisciplinary partners through European projects.
  • Support for career development, including grant applications and supervision of PhD students.
  • Travel opportunities to scientific events, project meetings, and international stays.
  • Freedom to conduct independent research and contribute ideas.
  • Flexible working hours and the possibility of telework.
  • Competitive salary aligned with Assistant or Associate Professor levels at the University of Barcelona, based on experience.
  • Contract duration until the end of the projects (minimum four years), with potential extensions via other grants.

The requirements for the position include :

  • Experience with machine / deep learning algorithms.
  • Biomedical data science expertise.
  • Medical image analysis skills.
  • Excellent programming skills in Python and / or C++.
  • Proficiency in English, both oral and written.
  • Enthusiasm for research and medical applications of AI.
  • Ability to work independently, lead projects, and meet deadlines.
  • Good team spirit and active participation in the lab’s scientific activities.
  • Ability to collaborate with local and international project partners, including technical and clinical collaborators.
  • Desirable but optional knowledge areas include :

  • Probability and statistics.
  • Mathematics and / or applied mathematics.
  • Bias detection and correction.
  • Transfer learning and domain adaptation.
  • Uncertainty estimation.
  • Federated learning.
  • Bioinformatics and biomedical informatics.
  • Biomedical engineering.
  • Personalized and precision medicine.
  • Digital health.
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