PhD candidate in Biomedical Data Science and Bioinformatics
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Published on: 31.01.2025
The University of Bonn is an international research university with a wide education and research profile. With a 200-year history, approximately 31,500 students, more than 6,000 staff, and an excellent reputation at home and abroad, the University of Bonn is one of the most important universities in Germany and is recognized as a university of excellence.
The Chair of Computational Life Sciences of the International Research Unit Mathematics and Life Sciences is looking to fill the following positions as soon as possible, on a fixed-term contract for three years.
PhD candidate in Biomedical Data Science and Bioinformatics
Chair of Computational Life Sciences
The Computational Life Sciences group develops and applies novel mathematical and computational approaches as well as software tools for data analysis and modeling. The spectrum of applications includes oncology, immunology, and epidemiology. We are intensively collaborating with world-leading experts in the respective fields as well as in mathematics, and we are part of the excellence clusters ImmunoSensation2 and Hausdorff Center for Mathematics at the University of Bonn.
We offer a position as part of DFG-funded Collaborative Research Center 1454 “Metaflammation and Cellular Programming” (https://www.sfb1454-metaflammation.de/). Metaflammation refers to low-grade chronic inflammation that plays a significant role in the progression of various diseases. Understanding the molecular mechanisms underlying metaflammation is essential for identifying new therapeutic targets.
Deadline:
23.02.2025
Reference number:
3.3/2025/08
Working time model:
part time (75%)
Starting date:
earliest possible date
Duration:
fixed-term contract for three years.
Pay grade:
TV-L EG 13
Applications to:
iru-mls@uni-bonn.de (in English)
Application documents:
- your CV,
- letter of motivation highlighting your interest in this position,
- certificates (incl. Master/Diploma/PhD thesis),
- your preferred percentage of working time and duration of the contract
Your tasks - Bioinformatic, statistical, and machine learning-based analysis of experimental,
- data generated via a broad spectrum of experimental technologies,
- Development of methods, software tools and pipelines for these analyses,
- Collaboration with project partners,
- Data analysis and interpretation,
- Presentation and publication of scientific results at conferences and in journals.
We offer - A varied, challenging job with one of the largest employers in the region,
- An international, stimulating, well-equipped working environment with an open and constructive atmosphere and the necessary infrastructure for high-quality research,
- The opportunity to complete a doctorate,
- Broad spectrum of career development opportunities,
- Participation in high-impact scientific projects with access to state-of-the-art resources and technologies,
- Occupational pension (VBL),
- Many options available for university sports,
- Flexible working hours and the ability to work from home,
- Remuneration in accordance with TV-L pay grade 13.
Your profile - University degree (masters degree or equivalent) in (bio-)informatics, computational biology, computer science, mathematics, physics or related fields; alternatively, a degree in life sciences in combination with a track record in data science,
- Profound knowledge in statistics, bioinformatics and/or machine learning,
- Programming skills in R or Python,
- Interest in life sciences topics, especially immunological processes,
- Proficiency in written and spoken English.
Diversity and equal opportunity
- A varied, challenging job with one of the largest employers in the region,
- An international, stimulating, well-equipped working environment with an open and constructive atmosphere and the necessary infrastructure for high-quality research,
- The opportunity to complete a doctorate,
- Broad spectrum of career development opportunities,
- Participation in high-impact scientific projects with access to state-of-the-art resources and technologies,
- Occupational pension (VBL),
- Many options available for university sports,
- Flexible working hours and the ability to work from home,
- Remuneration in accordance with TV-L pay grade 13.
Your profile - University degree (masters degree or equivalent) in (bio-)informatics, computational biology, computer science, mathematics, physics or related fields; alternatively, a degree in life sciences in combination with a track record in data science,
- Profound knowledge in statistics, bioinformatics and/or machine learning,
- Programming skills in R or Python,
- Interest in life sciences topics, especially immunological processes,
- Proficiency in written and spoken English.
Diversity and equal opportunity
The University of Bonn is committed to diversity and equal opportunity. It is certified as a family-friendly university. It aims to increase the proportion of women in areas where women are under-represented and to promote their careers in particular. It therefore strongly encourages women with relevant qualifications to apply. Applications will be handled in accordance with the Landesgleichstellungsgesetz (State Equality Act). Applications from suitable individuals with a certified serious disability and those of equal status are particularly welcome.
Contact Prof. Dr. Jan Hasenauer
jan.hasenauer@uni-bonn.de
Information :
- Company : Rheinische Friedrich-Wilhelms-Universität Bonn
- Position : PhD candidate in Biomedical Data Science and Bioinformatics
- Location : Bonn
- Country : DE
How to Submit an Application:
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Post Date : 2025-02-03
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