Development of Artificial Intelligence Tools Combining Genomics and Big Data for Decision Support in Dairy Production

Institution/Company:
Laval University
Location:
Quebec, QC, Canada
Job Type:
  • MSc (MSc or PhD)
Degree Level Required:
Bachelor's, Masters
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Development of Artificial Intelligence Tools Combining Genomics and Big Data for Decision Support in Dairy Production

In context:

In Canada, the dairy industry is an important market, with a herd of nearly 1.4 million cows (most of them in Quebec and Ontario) generating net revenues of $ 6.17 billion each year. Recent innovations in genomic selection, management efforts and control of production variables have helped maximize profitability in recent years. For 40 years, the Valacta Center of Expertise has been collecting production data, such as the amount of milk produced, milk components, animal characteristics, and rearing conditions, but these data have never been incorporated to the genomics data to help improve production and welfare.

Project description:

The project aims to develop the next generation of artificial intelligence tools for predicting individual cows milk production from genomic and production data (Valacta). The student should have an interest in dairy production, but especially good programming, data analysis and artificial intelligence skills. The student will have to develop innovative machine learning methods combining different datasets to predict the individual production of animals.

Responsibilities:

1) Development of artificial intelligence tools combining genomics and production data to improve the prediction of production 2) Development of tools allowing the integration of various heterogeneous datasets.

Qualifications:

• Programming in Python or R. • Expertise in data analysis, artificial intelligence, genomics or bioinformatics would be an asset. • Good level of English allowing reading and writing. • Good oral and written communication skills. • Teamwork.

  • How to Apply

    Interested candidates should send a curriculum vitae, transcript and cover letter.