**Job Description**
This Ph.D. fellowship focuses on uncovering the molecular basis of life history variation in Atlantic salmon, particularly focusing on maturity age. The candidate will employ state-of-the-art functional genomics techniques to identify molecular mechanisms by which large-effect genes like SIX6 and VGLL3 influence salmon maturity age. This involves using molecular techniques (e.g., ChIP-seq, RNA-seq) to map gene regulatory networks and statistical approaches (e.g., GWAS, random forest) to discover genotype-phenotype associations in various environments. The project aims to enhance understanding of molecular mechanisms to predict trait changes and develop new broodstocks with desired maturation rates.
**Skills & Abilities**
• Self-motivated with excellent organisation and time-management skills.
• Team spirit and ability to collaborate with people from different backgrounds.
• Good written and spoken English skills.
• Experience in molecular genetics wet-lab work.
• Basic skills in R.
• Strong willingness to learn bioinformatics.
• Hands-on experience in functional genomics (e.g., ChIP-seq, RNA-seq, ATAC-seq) (advantageous).
• Hands-on experience in genotype-phenotype associations (e.g., GWAS, GLMMs, random forest, genomic prediction) (advantageous).
**Qualifications**
Required Degree(s) in:
• Relevant program (MSc)
• Biosciences (for Ph.D. admission)
Other:
• A 2-year (120 ETCS) MSc degree is required by the time of employment.
• Grade average of B or better (or equivalent score) for the MSc program total and master’s thesis.
• Proficiency in English, both written and oral.
• Applicants from outside the EU/EEA must submit NOKUT approval of their master’s degree.
• Candidates who already have a Ph.D. degree will not be considered for the position.
**Experience**
Other:
• Experience in molecular genetics wet-lab work.
• Basic skills in R.
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