NTHRYS › Internships › Plant Breeding Genetics

AI Climate-Adaptive Breeding Research

Plant Breeding Genetics

Focused area

Variant

Pay · Join

Step 3 of 5Choose focused area

Field

▾

Category

▾

Focused area

▾

You might prefer

AI Genomic Selection Plant Research Machine Learning QTL Mapping Research AI GWAS Plant Breeding Research AI Heterosis & Hybrid Breeding Research AI Haploid Breeding Technology Research AI Disease Resistance Breeding Research AI Marker-Assisted Selection Research AI Polyploidy & Crop Evolution Research AI Speed Genomics Breeding Research Genomic Selection Model Development Phenotypic Trait Measurement High-Throughput Linkage Map Construction Plant Genetics SNP Discovery Development Plant Crops Pollen Viability Fertility Assessment Cytogenetic Analysis Chromosome Mapping Cross-Breeding Hybridization Protocol Design Mutation Breeding Induction Mutagenesis Gene Expression Analysis Breeding Lines Germplasm Characterization Diversity Assessment Backcross Breeding Introgression Programs Doubled Haploid Line Production Development Population Structure Ancestry Analysis Root Architecture Trait Selection Yield Component Genetics Dissection Stress Response Gene Identification Micronutrient Biofortification Breeding Heterozygosity Maintenance Hybrid Systems Pathogen Resistance Screening Evaluation Transcriptome Assembly Annotation Plant Seed Development Maturation Genetics Stigma Pollen Compatibility Studies Metabolite Profiling Crop Quality Wheat Barley Trait Introgression Floral Development Reproductive Genetics In Vitro Regeneration Plant Tissue Chromosome Doubling Polyploid Development Leaf Photosynthesis Efficiency Genetics Whole Genome Sequencing Plant Breeding Grain Quality Protein Content Analysis Flowering Time Photoperiod Sensitivity Insect Pest Resistance Screening Epigenetic Variation Plant Phenotypes Seed Coat Color Pigmentation Genetics Plant Architecture Lodging Resistance Nitrogen Use Efficiency Selection Wild Relative Introgression Crop Improvement Fruit Size Shape Morphology Genetics Recombination Rate Hotspot Mapping Phenotypic Plasticity Environmental Response

AI Climate-Adaptive Breeding Research

Internship studying climate-adaptive breeding with analysis of tolerance traits and selection strategy. Includes mentored hands-on analysis sessions.

The focused areas below are internship topics in varied working formats. Pick one, then choose your internship type, mode… Read more

🎓 TYPE

🌐 MODE

⏱

📚 Academic: Thesis & PPT assistance included🧪 Tech: Master the protocols hands-on📝 Research > 3 months: Publication co-authorship in a Scopus-indexed journal

🔍

Showing 1–5 of 5

Machine Learning Models for Drought-Tolerant Trait Prediction

Interns will develop and train machine learning algorithms to identify genetic markers associated with drought tolerance in crop species. They will work with genomic datasets to build predictive models that can accelerate the selection of drought-resistant breeding lines.

Academic (A)Tech (T)Research (R)

14 more durationsView Titles →

High-Throughput Phenotyping Data Analysis for Climate Resilience

Interns will analyze large-scale phenotypic datasets from climate-controlled growth chambers and field trials to identify traits correlated with climate stress adaptation. They will use statistical methods and visualization tools to interpret complex plant performance data under varying environmental conditions.

Academic (A)Tech (T)Research (R)

14 more durationsView Titles →

Genomic Selection Algorithm Development for Heat-Stress Adaptation

Interns will design and implement genomic selection algorithms to identify superior breeding candidates with enhanced heat tolerance. They will integrate multi-omics data with climate projection models to optimize breeding strategies for future environmental scenarios.

Academic (A)Tech (T)Research (R)

14 more durationsView Titles →

Crop Performance Prediction Under Climate Variability Scenarios

Interns will develop computational models that simulate crop performance across different climate scenarios using genetic and environmental data. They will validate predictions against historical yield data and contribute to breeding program optimization for climate-vulnerable regions.

Academic (A)Tech (T)Research (R)

14 more durationsView Titles →

Gene Expression Profiling in Response to Environmental Stress

Interns will conduct transcriptomic analysis and RNA-seq data processing to understand gene expression patterns in breeding lines exposed to drought, heat, and flood stress conditions. They will identify candidate genes and regulatory networks that enhance climate adaptation in crops.

Academic (A)Tech (T)Research (R)

14 more durationsView Titles →