Deep Learning For Protein Fold Recognition for PhD

  •  PhD
  •  september each year
  •   France
  • $$  Fully Funded

'année 2013 voit la naissance du laboratoire ICube, un formidable projet sous l'égide du CNRS, de l'Université de Strasbourg, de l’ENGEES et de l’INSA de Strasbourg.

Le laboratoire rassemble à parts égales deux communautés scientifiques à l’interface entre le monde numérique et le monde physique, lui donnant ainsi une configuration unique.

Avec près de 650 membres, il est une force de recherche majeure du site de Strasbourg. Fédéré par l'imagerie, ICube a comme champs d'application privilégiés l'ingénierie pour la santé, l'environnement et le développement durable.

Université de Strasbourg Information

Université de Strasbourg

Deep Learning For Protein Fold Recognition for PhD Established in 1621, Université de Strasbourg (University of Strasbourg) is a non-profit public higher education institution located in the small city of Strasbourg (population range of 250,000-499,999 inhabitants), Grand Est. Officially accredited and/or recognized by the Ministère de l'Enseignement supérieur, de la Recherche et de l'Innovation, France (Ministry of Higher Education, Research and Innovation, France), Université de Strasbourg is a very large (uniRank enrollment range: over-45,000 students) coeducational higher education institution. Université de Strasbourg offers courses and programs leading to officially recognized higher education degrees such as bachelor degrees in several areas of study. See the uniRank degree levels and areas of study matrix below for further details. International applicants are eligible to apply for enrollment.

Eligibility Criteria

Requirements

— Master degree in Computer Science (Master en informatique)
— Working knowledge of programming in Python/Matlab (Connaissance pratique de la programmation
en Python / Matlab)
— Experience in machine learning (Expérience en apprentissage automatique)
— Knowledge in structural biology is a plus (La connaissance en biologie structurale est un avantage)

Application Process

Send your CV with transcriptions of your academic records (undergraduate and master courses) and one or
more recommendation letters by email (seo_at_unistra_dot_fr). The position is open until filled.

Apply Here

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