Thesis supervisor: Anna Szécsényi-Nagy
Location of studies (in Hungarian): HUN-REN, Research Centre for the Humanities, Institute of Archaeogenomics Abbreviation of location of studies: H-REN
Description of the research topic:
"Within the field of archaeogenetics, bioinformatics is becoming increasingly important, especially in developing different processing options for ancient genomic data. The research group at the Institute of Archaeogenomics recently developed an IT system for processing raw DNA data, along with related tools that, for example, monitor the purity of samples or assist in tracking hereditary diseases and genetic markers related to phenotype (Gerber et al. 2023). The central theme of the current PhD research is testing, adapting, and developing additional methods useful for deeper analysis of ancient genomes. One possible direction for the doctoral work is population genetics, while another is researching genetic diseases and the genetic selection of certain genomic regions in ancient populations. The student will explore the possibilities and applications of machine learning in archaeogenetic research, thus requiring an interest in informatics and strong statistical foundations.
For this PhD work, basic knowledge of bioinformatics and the Linux operating system, as well as basic programming skills in R or Python, are required. The infrastructure for the research is provided by the laboratory of the BTK Institute of Archaeogenomics.
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Required language skills: Hungarian, English Further requirements: Biologist, bioengineer, physicist, or biophysicist degree (MSc), basic knowledge of bioinformatics, knowledge of the Linux operating system, elementary programming and biostatistics knowledge.
Number of students who can be accepted: 1
Deadline for application: 2024-05-31
2024. IV. 17. ODT ülés Az ODT következő ülésére 2024. június 14-én, pénteken 10.00 órakor kerül sor a Semmelweis Egyetem Szenátusi termében (Bp. Üllői út 26. I. emelet).
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