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PhD student (f/m/x) in Computational Biology

Universitätsklinikum Köln (AöR)
Cologne, Nordrhein-Westfalen (DE)
Closing date
25 Aug 2024

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Biomedicine, Computing, Environmental Science, Mathematics
Job Type
Bioinformatician, PhD Position
Employment - Hours
Full time

Your future with us

Working at the University Hospital Cologne and the Medical Faculty means helping to shape the future - the future of medicine, of patients and, of course, your own future. You benefit from 60 clinics and institutes as well as numerous other departments and facilities and more than 12,000 jobs. The Faculty of Medicine of the University of Cologne and the University Hospital Cologne assume important social tasks in research, teaching and patient care. A close network with many university and non-university partners guarantees an internationally successful science and the excellent education of our students.

Your future in detail

Further information can be found here and here.

PhD student (f/m/x) in Computational Biology


as soon as possible

part-time (29 hours/week); initially limited for 4 years according to WissZeitVG Drittmittel

Your salary will be based on TV-L

Your tasks

You will work in an interdisciplinary team of basic researchers, computational biologists and environmental and biomedical scientists to improve our understanding of the impact of chemical agents on our and environmental health as part of the large EU PARC Project.

Specifically your tasks will be:

  • Working closely with scientists all over Europe to derive new approaches for analysing and interpreting the impact of chemicals on organisms
  • Developing the use of new approach methodologies within chemical risk assessment
  • Evaluate and contribute towards mechanistic understanding of chemical exposure in a variety of systems
  • Establish key networks throughout Europe to improve chemical usage and monitoring

Your Profile

  • We are seeking a highly motivated PhD candidate who has a background in bioinformatics, computational biology, systems biology, or equivalent discipline.
  • High proficiency in at least one (statistical) programming language (i.e. R, python, etc)
  • Motivation to develop new methodology to analyse and interpret data
  • Experience with any type of OMICs data is essential
  • Deep learning would be desirable but is optional

Our Offer

In this PhD, the successful applicant will develop a vast network of the European chemical risk assessment community through the deep integration into the EU PARC Project which spans all 27 member states. With over 200 institutions linked within this project, the student will have the opportunity to work and develop new approaches that may be integrated into the current chemical risk assessment community and provide a new outlook on chemical safety across Europe.

The student will have the opportunity to learn a variety of computational techniques and approaches and contribute to the lively environment here at the University Hospitial Cologne. In addition, we offer excellent scientific infrastructure, strong integration into the computational groups here, and a vibrant community of motivated scientists aiming to improve the world one project at a time.

Applications from female candidates are expressly welcome and will be given priority in the event of equal suitability, competence and professional performance.

People with disabilities are welcome to apply and will be treated preferentially in the event of equal suitability and qualification.

Apply online now


Philipp Antczak

Postal address:

Universitätsklinikum Köln AöR


Geschäftsbereich Personal

Job-ID: 00004636

D-50937 Köln

Application deadline: 25.08.2024

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