Position: Mid-Senior level

Job type: Full-time

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Leibniz-HKI-14/2024

The Leibniz Institute for Natural Product Research and Infection Biology ( Leibniz-HKI ) investigates the pathobiology of human-pathogenic fungi and identifies targets for the development of novel natural product-based antibiotics. The research group of Applied Systems Biology invites talented and highly gifted candidates to apply as

Postdoctoral Researcher (m/f/div)

in Automated Processing of Bioimages

for two years initially with the prospect of prolongation.

Research areas: automated image processing, classical approaches, machine learning, deep learning, etc.

In the research group Applied Systems Biology , a position for a postdoctoral researcher becomes available. The position is associated with aspects of the Image-based Systems Biology approach. This modern computational approach comprises the automated analysis of microscopy and/or spectroscopy data based on state-of-the-art methods from machine learning as well as the computer simulation of mathematical models using advanced modeling approaches. We are seeking highly motivated candidates that are interested to work on image processing in experiment-driven interdisciplinary studies.

Candidate’s Profile

  • Doctoral degree in computer science, bioinformatics, physics, or a related discipline
  • Strong interest in biological systems and an educational background in biology is preferred
  • Experience in automated analysis of image data
  • Very good programming skills
  • Ability to perform team-oriented as well as independent work
  • Good communication skills in English are a must

We offer:

The successful candidate will be hosted in the research group Applied Systems Biology of Prof. Dr. Marc Thilo Figge. The Leibniz-HKI is embedded in the outstanding scientific environment of the Beutenberg Campus providing state-of-the-art research facilities and a highly integrative network of life science groups. We offer a multifaceted scientific project with excellent technical facilities, a place in a dynamic, committed team, as well as strong scientific collaborations.

Salary is paid according to German TV-L (salary agreement for public service employees).
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Deadline: 11-12-2024

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