Mots-Clés

Machine learning on multi-omics data, feature selection, support mechanistic models with machine learning

Description

ESR8 Objectives

A. Data-driven approach to examine biological systems. B. Identifying relevant features – feature extraction using neural networks. C. Use knowlegde from mechanistic models to develop biologically more meaningful data-driven models. D. Finding hidden patterns in omics data (https://www.itn-emuse.com/wp).

Skills/Qualifications

Master’s degree in computer science ideally with a strong background in data science, machine learning, deep learning.

• Computer science, data science, machine learning, deep learning background
• Provable software development skills in one of common programming languages (e.g. Java, C++)
• Python, Tensorflow, PyTorch experience is favoured
• Willingness to learn the necessary biology background in order to work with biological data properly

Specific Requirements

• You should NOT have any kind of PhD degree.
• Previous research experience (which must be no longer than 4 years) although appreciated, is not mandatory.
• Educational background and previous research experience relevant for the chosen position.
• Applicants must demonstrate fluent reading, writing and speaking abilities in English. English: B2, good oral and written communication skills in English are compulsory.
• Networking and communication skills in a multicultural and multidisciplinary environment Willingness to travel abroad for the purpose of research, training and dissemination