Tissue Engineering and Regenerative Medicine (Ertürk_Erener) 2

Department / Institute
Institute for Tissue Engineering and Regenerative Medicine (iTERM) (LMU & Helmholtz)
Subject area
Tissue clearing, 3-D imaging, proteomics and artificial-intelligence (AI)
Project title
Organ mapping- the cellular and molecular complexity of the human heart
Name of supervisor
Dr. Ali Ertürk
Number of open positions
1
Language requirements
Very good command of written and spoken English
Academic requirements
Masters or Diploma degree in Life Sciences or a related field
Project time plan
Contact
csc.international@lmu.de

Who we are:

We develop and implement 3D imaging technologies to be able to generate the highest resolution views of whole mouse bodies and human organs. We bring together cutting-edge science from biology, chemistry, engineering, and computer applications. Our overarching aim is to obtain a holistic view on inter-connected biological systems in health and disease. We also develop deep learning-based algorithms to analyze large imaging and molecular data in a robust and unbiased way. Our research received high attention from high-profile scientific journals (Nature Methods Pan, Cai…Ertürk, 2016; Nature Neuroscience Cai, Pan…Ertürk 2018; Cell Pan, Schoppe…Ertürk, 2019; Cell Zhao…Ertürk, 2020; Nature Methods Todorov, Paetzold…Ertürk, 2020) and media including New York Times, Wall Street Journal and Süddeutsche Zeitung. You can find more about us at www.erturk-lab.com.

Project description

We are seeking a highly motivated and talented PhD student in the area of Life Sciences to chart the cellular and molecular map of the human heart. This ambitious project aims to unravel the cell and molecular level information from the heart using the state-of-the-art technologies including tissue clearing, light-sheet microscopy and proteomics. The candidate will have access to the latest Mass-spec timsTOF pro/SCP instrument for the proteomics work and to the latest light sheet microscopes for whole organ imaging. The candidate will collaborate with the computer scientists in the team for AI-based analysis of large imaging and proteomics data for different cardiac cell types. Furthermore, the candidate will work within an international consortium to contribute towards developing a common coordinate framework (CCF) for the healthy human body.

Your profile:

  • Diploma or M.S. degree in a relevant Life Sciences field
  • Interested in clearing and 3D imaging technology development
  • Experienced in mouse handling, tissue processing, immunostaining and fluorescent microscopy
  • Knowledge in computation and imaging data analysis
  • Demonstrated aptitude to perform experimental protocols and procedures, including detailed data collection, and analysis
  • Good communication skills in English, self-motivation, problem-solving and team player mentality
  • Always willing to learn, and have the courage to ask questions when not clear
  • Open to express opinions and receive feedbacks / critics
  • Ability to work independently, as well as part of a team

Our offer:

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

What are you looking for?