Eligible Nationalities:

All Nationalities.

Eligibility Criteria:

Required Academic Qualifications:

• Master’s degree in genomics, bioinformatics, evolutionary genetics, or a similar field (120 credits).
• Also, experience with large genome data analysis
• Likewise, experience with command-line-based operation of the High-Performance Computing (HPC) system
• Statistical/population genomics knowledge (For example, PLINK, VCFTools, GCTA)
• Furthermore, experience with RNA-sequencing, or eQTL, GWAS, or similar functional genomics analysis (For example, DeSeq2, Kallisto, STAR)
• Additionally, experience/familiarity with R, Python, and other programming languages

You need to:

• Have good collaborative skills and high motivation. You will closely work with another Ph.D. student.
• Also, work with initiative and creative views.
• Have an analytical and academic approach to research questions.
• Likewise, be proficient in English, both written and spoken.

Application Procedure:

1. A letter of intent includes:

Why are you interested in this particular project?

How can you contribute to the project based on your specific skillsets?

2. Also, Curriculum vitae + publication list

3. Your sample SLURM script which does any genomics-related analysis.

4. Likewise, One-page A4 report which explains the mechanism/theory/analytical methods etc. of (A) “Polygenic adaptation” or (B) “splicing QTL”. You can include figures and formulas in the report.

5. Your Master’s thesis if it is written in English.

6. Additionally, copies of degree certificates and transcripts of academic records (all certified)

7. At least two academic reference persons.