Genomics & genetics approaches towards breeding Triticum spelt for a sustainable agriculture facing global warming
| ABG-133430 | Thesis topic | |
| 2025-09-17 | Public/private mixed funding | 
- Biotechnology
 
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
Funding category
Funding further details
Presentation of host institution and host laboratory
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.
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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.
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	Thesis topicRef. 134080Klosterneuburg, Austria
Institute of Science and Technology Austria - ISTAFully-funded PhD position at ISTA
Scientific expertises :Chemistry - Computer science - Mathematics
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	JobRef. 134088, Nouvelle Aquitaine , France
SILABResponsable Matières Premières Naturelles
Scientific expertises :Biology
Experience level :Any
 


