Institute for Tissue Engineering and Regenerative Medicine (iTERM) (LMU & Helmholtz)

Department / Institute
Institute for Tissue Engineering and Regenerative Medicine (iTERM) (LMU & Helmholtz)
Subject area
Tissue Chemistry
Project title
Screening and identifying novel tissue permeabilization and labeling methods
Name of supervisor
Dr. Ali Erturk https://erturk-lab.com
Number of open positions
1
Language requirements
Excellent command of English in spoken and written
Academic requirements
candidates with extensive knowledge in organic, inorganic and biochemistry
Contact
Dr. Ali Erturk erturk@helmoltz-muenchen.de

Project description

We are developing next generation spatial-omics methods by combining transcriptomics and proteomics with tissue transparency and AI (Pan…Ertürk, Cell 2019, and Zhao…Ertürk, Cell 2020). Towards this goal, we look for candidates who has extensive knowledge in organic, inorganic and biochemistry to screen and identify novel tissue permeabilization and labeling methods.

Your profile

  • Prior experience
    • Extensive experience in organic chemistry
    • Developing variable small molecules and /or antibodies for deep tissue histology
    • Developing variable small molecules and /or antibodies for deep tissue histology
    • Developing novel biomaterial (synthesized or natural) for in vitro 3D tissue engineering.
  • Way of working
    • Flexible, solution-oriented and independent way of working
    • Collaborative spirit & ability to work on a highly international & interdisciplinary team Pan…Ertürk, 2016 Cai…Ertürk, 2018 Pan…Ertürk, 2019
    • Strong organizational and management skills
  • Further skills
    • Excellent communication and presentation skills
    • Excellent command of English in spoken and written
    • Solid IT skills (MS Office, reference manager, research tools, etc.)

Our offer

  • Work in an innovative, well-equipped and scientifically stimulating surrounding
  • Help establishing a new research institute
  • Gain insight into cutting edge technologies from biology to artificial intelligence
  • Refine your personal development with further training opportunities

We are looking forward to receiving your comprehensive application including your letter of motivation, CV, academic transcripts and the name and contact of at least 3 referees.

Please email your application to

karen.biniossek@helmholtz-muenchen.de

erturk@helmholtz-muenchen.de

What are you looking for?