Phd Candidate In Plant Biology
- Use of phenotyping platforms at the Forschungszentrum Jülich to quantify growth and photosynthesis-related traits; - Analysis of complex dataset from a large natural population (~ 300 accessions of Arabidopsis thaliana); - Statistical analysis using linear-mixed models; - Use of programming language (R and python); - Study of genetic variants determining photosynthetic eficiency using genome-wide association studies (GWAS); - Genomic prediction using gBLUP model, random forest and XGBoost; - Use of a high-performance computer at the Jülich Supercomputer Center; - Scientific presentation in international conferences (Germany, Netherlands and USA); - Organization of academic conference; - Supervision of bachelor students.