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Genomics & genetics approaches towards breeding Triticum spelt for a sustainable agriculture facing global warming

ABG-133430 Thesis topic
2025-11-26 Public/private mixed funding
UniLaSalle
Beauvais - Les Hauts de France - France
Genomics & genetics approaches towards breeding Triticum spelt for a sustainable agriculture facing global warming
  • Biotechnology
Genomics, bioinformatics, plant breeding, molecular genetics, wheat

Topic description

We are looking to fulfil a PhD Student position at our UniLaSalle site in Beauvais (France) as part of a European Project Breed-Epeautre-Omics at the earliest opportunity starting March 2026. UniLaSalle is a high-class academic and a research institution with more than 4000 students located near Paris, (France) at Beauvais campus (60). The research activity includes a turnover of 7’5 million euros devoted to R&D.

Breed-E-omics aims to study the genetics and improvement of spelt in a context of ecological transition and global warming as a source of alternative crop for producers in Hauts-de-France and Spain.  We propose an innovative and multidisciplinary solution to this challenge, integrating genetics, quantitative genetics, transcriptomic studies, genomic selection and high-throughput qualitative analysis. Bringing biotechnology to a sustainable future. 

Starting date

2026-03-09

Funding category

Public/private mixed funding

Funding further details

Presentation of host institution and host laboratory

UniLaSalle

UniLaSalle is a high-class academic and a research institution with more than 4000 students located near Paris, (France) at Beauvais campus (60). The research activity includes a turnover of 7’5 million euros devoted to R&D.

Candidate's profile

Your power

You are interested in plant genetics, quantitative genetics and plant breeding with a bioinformatic or biotechnology background. You have the drive to dig into a research project and the ability to persevere until you have found the answers you are looking for. You like working in the field, in the office and in a laboratory environment, and you share your progress with your supervisor and team members.

In short, you have/are:

       Master’s degree or equivalent in plant breeding, bioinformatics, plant scientist, or biotechnology

       Excellent data analysis skills with emphasis on quantitative genetics: R, mixmodels, Python

       Knowledge of molecular genetics, for example: PCR, RNA-seq, expression analysis, etc.

       Plant pathology and/or biochemistry experience is a plus.

       Good work ethic and a scientific mindset.

 

You should join us

If you like working in a dynamic environment, have a good writing and communication skills in French and English and you are ready to go the extra mile in your work.

Please send your candidacy to the coordinator of the projet Dr. Eduardo D. Munaiz, Associate Professor of Genetics & Plant Breeding at UniLaSalle

2025-12-15
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