Doctoral Researcher (m/f/div) in Computational Biology

Updated: 22 days ago
Location: Jena, TH RINGEN
Job Type: FullTime
Deadline: 15 Jul 2024

25 May 2024
Job Information
Organisation/Company

Leibniz Institute for Natural Product Research and Infection Biology – Hans Knöll Institute (HKI)
Research Field

Biological sciences » Biology
Biological sciences » Other
Computer science » Other
Economics » Other
Mathematics » Applied mathematics
Mathematics » Mathematical analysis
Physics » Biophysics
Researcher Profile

First Stage Researcher (R1)
Country

Germany
Application Deadline

15 Jul 2024 - 21:59 (UTC)
Type of Contract

Permanent
Job Status

Full-time
Is the job funded through the EU Research Framework Programme?

Not funded by an EU programme
Is the Job related to staff position within a Research Infrastructure?

No

Offer Description

Job Advertisement
Leibniz-HKI-15/2024

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


Doctoral Researcher (m/f/div) in Computational Biology

for three years initially with the prospect of prolongation.

Research areas: mathematical modeling, state-based and agent-based modeling, game theory, etc.

In the research group Applied Systems Biology a position for a doctoral 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 mathematical modeling and computer simulations in experiment-driven interdisciplinary studies.


Candidate’s profile:

  • Master’s degree in physics, computer science, bioinformatics, or a related discipline
  • Strong interest in biological systems and an educational background in biology are preferred
  • Experience in mathematical modeling and computer simulations
  • Very good programming skills, preferably in C/C++ and/or Python
  • 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).


Further information:

Prof. Dr. Marc Thilo Figge | +49 3641 532-1416 | [email protected]


Applications:

Leibniz-HKI is proud to be an equal opportunity employer and promote diversity and inclusion in the workplace. It aims to increase the proportion of underrepresented groups in case of equal suitability. All qualified persons, regardless of race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, veteran status, or other classification protected by law will receive consideration for employment.

Complete applications in English should include a cover letter, a CV containing a complete list of publications, a brief statement of research experiences, and the addresses of two possible referees and should be submitted via the Leibniz-HKI online application system . The deadline for the advertisement is July 15, 2024, but applications will be reviewed on a rolling basis.


Requirements

Research Field
Biological sciences
Years of Research Experience
None

Research Field
Biological sciences
Years of Research Experience
None

Research Field
Computer science
Years of Research Experience
None

Research Field
Economics
Years of Research Experience
None

Research Field
Mathematics
Years of Research Experience
None

Research Field
Mathematics
Years of Research Experience
None

Research Field
Physics
Years of Research Experience
None

Additional Information
Website for additional job details

https://academicpositions.com

Work Location(s)
Number of offers available
1
Company/Institute
Leibniz Institute for Natural Product Research and Infection Biology – Hans Knöll Institute (HKI)
Country
Germany
City
Jena
Postal Code
07745
Street
Beutenbergstrasse 11a
Geofield


Where to apply
Website

https://academicpositions.com/ad/leibniz-institute-natural-product-research-inf…

Contact
City

Jena
Website

http://www.hki-jena.de/index.php
Postal Code

07745

STATUS: EXPIRED

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