Postdoc Position in Computational Biophysics

Employer
Max Planck Institute for Multidisciplinary Sciences
Location
Göttingen (Landkreis), Niedersachsen (DE)
Salary
Based on the German Public Service Payscale (TVöD Bund)
Closing date
Jul 13, 2022
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The Max Planck Institute for Multidisciplinary Sciences (former Max Planck Institute for Biophysical Chemistry) is a leading international research institute of exceptional scientific breadth. With more than 40 research groups and some 1,000 employees from over 50 nations, it is the largest institute of the Max Planck Society. The research group for Computational Biomolecular Dynamics (Prof. Dr. Bert de Groot) is inviting applications for a Postdoc Position (f/m/d)

Development and application of alchemical free energy calculation methods for protein design, resistance prediction and ligand-protein binding free energies

Your profile The successful candidate has a keen interest and strong skills in computational molecular physics, structural biology, statistical mechanics, and scientific computing, a strong interest in interdisciplinary research and collaboration with experimental groups. You hold a PhD or equivalent degree in any of these or a related field.

What we offer

  • state of the art on site compute facilities
  • a team of 30+ expert colleagues
  • a family friendly, green campus with on-site kindergarten
  • ample training opportunities

Position details The position is limited to two years with a possibility of extension. Payment and benefits are based on the German Public Service Payscale (TVöD Bund) guidelines. The starting date is flexible.

The Max Planck Society is committed to increasing the number of individuals with disabilities in its workforce and therefore encourages applications from such qualified individuals. The Max Planck Society strives for gender and diversity equality. We welcome applications from all backgrounds.

Application Applications will be reviewed on a rolling basis until the position is filled. Please submit your application including cover letter (explaining background and motivation), CV, transcripts, and publication record, preferably via E-Mail as a single PDF file to

ausschreibung31-22@mpinat.mpg.de

 

 

 

 

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