Postdoc Position In Machine Learning For Genomics Annotations In Plants

Postdoc position in Machine learning for genomics annotations in plants When 1 Nov 2024 Location: Instituto de Biologia Molecular y Celular de Plantas Primo Yufera (IBMCP), Valencia, Spain.
We are looking for a two-year postdoctoral researcher to investigate genome annotations in non-model plants using machine learning approaches.
Genome annotations are one of the major bottlenecks to obtaining high-quality genomes, especially in non-model species.
Efficient tools to evaluate the quality of a genome annotation are needed.
The goal for this position is to develop a toolkit with several applications to evaluate genome annotations using K-mers and AI.
This project is developed in collaboration with Dr. Ian Morilla (UMA, Spain).
Qualifications Applicants should have demonstrated experience in the field of bioinformatics and/or computational biology.
They should be proficient in at least one programming language (preferably Python).
The candidate should have proficiency in data science, with a focus on machine learning.
Deep learning approaches will be a plus.
Good English communication skills are essential.
Applicants should have a PhD degree in the fields of Biology or Computational Science.
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