Poetsch group: Postdoctoral Researcher: Join a collaborative research project between the TU Dresden and CASUS to design the next generation of genomic algorithms for DNA analysis. We are seeking a Postdoctoral Researcher (f/m/d) with expertise in Deep Learning Language Models of DNA to join our diverse team.
Designation: Postdoctoral Researcher
Research Area: Deep Learning Language Models of DNA
Location: Dresden (Germany)
Eligibility/Qualification:
- Ph.D. in Computer Science, Bioinformatics, or a related field
- Expertise in Deep Learning Language Models of DNA
- Excellent programming skills in Python or similar languages
- Strong analytical and problem-solving skills
- Good communication and teamwork skills
Job Description:
As a Postdoctoral Researcher in Deep Learning Language Models of DNA, you will:
- Develop and implement deep learning algorithms for DNA analysis using transformer-based models
- Train task-agnostic language models to extract language rules and biological meaning from DNA sequences
- Analyze the stability of genomes and identify the factors that contribute to genome stability
- Collaborate with the team of Anna Poetsch at the Biotechnology Center of the TU Dresden and CASUS in Görlitz to achieve research goals
- Publish research results in high-impact scientific journals
How to Apply:
To apply for this position, please submit your application documents (cover letter, CV, academic certificates, and contact information for two references) as a single PDF file to the email address provided on the official website.
Last Date for Apply: The position will be available from 01 February 2023, and the last date for application submission is 15 April 2023.
Table 1: Eligibility/Qualification
| Requirement | Qualification |
|---|---|
| Ph.D. in Computer Science, Bioinformatics, etc. | Required |
| Expertise in Deep Learning Language Models | Required |
| Programming skills in Python or similar | Required |
| Analytical and problem-solving skills | Required |
| Communication and teamwork skills | Required |
Table 2: Job Description
| Responsibilities |
|---|
| Develop and implement deep learning algorithms for DNA |
| Train task-agnostic language models to extract rules |
| Analyze genome stability and identify contributing factors |
| Collaborate with research teams |
| Publish results in high-impact scientific journals |
Join us 