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                                                          4. Ph.D. Thesis: Whole mouse body clearing and imaging techniques applied to Infectious disease and cancer metastasis (f/m/x)

                                                          Ph.D. Thesis: Whole mouse body clearing and imaging techniques applied to Infectious disease and cancer metastasis (f/m/x)

                                                          At iTERM, we bring together cutting-edge science from biology, chemistry, engineering and computer applications. Our overarching aim is to obtain a holistic view of interconnected biological systems in health and disease. We develop clearing technologies for cellular level imaging and deep learning algorithms to analyze large imaging and molecular data in a robust and unbiased way. The lab is moving forward to use the data for biofabrication purposes. Our research also has been highlighted by worldwide media including New York Times, Wall Street Journal and Süddeutsche Zeitung.

                                                          What your tasks include

                                                          We are seeking a highly motivated student with a background in biomedical sciences. Your primary responsibility will involve harnessing our expertise in whole-body optical tissue clearing, light sheet microscopy imaging, advanced mass spectrometry tools powered with AI, and hands-on experience in animal experimentation.


                                                          What we are looking for

                                                          • Bachelor's and Master's in biology / 

                                                            biomedical science or equivalent
                                                          • Experience with fluorescence microscopy and immunolabelling is required
                                                          • Background knowledge in Immunology or Virology
                                                          • Lab animal training certification is a plus
                                                          • A structured and independent working style and the ability to work in a team are required


                                                          Your application should contain

                                                          • CV & educational certificates
                                                          • Letter of motivation
                                                          • Contact details of previous employers for reference or letters of recommendation

                                                          Your Application

                                                          Please send your application or any questions you might have to: Stefanie.Reitinger@helmholtz-munich.de

                                                          You can find more about us at www.erturk-lab.com.

                                                          Severely disabled applicants with essentially identical technical and personal suitability will be preferentially selected. Interview-related costs cannot be reimbursed.

                                                          Participating Universities
                                                           LMU logo in white
                                                           TUM logo in white
                                                          Partner Institutions
                                                           Logo DZNE in white
                                                          Helmholtz Munich logo in white 
                                                           Logo Max Planck Gesellschaft 

                                                          SyNergy is funded by the Deutsche Forschungsgemeinschaft (German Research Foundation) within the framework of the German Excellence Strategy (EXC 2145 SyNergy – ID 390857198). The Excellence Strategy promotes outstanding research at German universities. 

                                                          Contact

                                                          Munich Cluster for Systems Neurology (SyNergy)

                                                          Feodor-Lynen-Str. 17
                                                          81377 Munich
                                                          +49 (0)89 4400-46497
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                                                          • About
                                                            • About us
                                                            • Our Measures
                                                            • Members
                                                            • Cluster Management
                                                            •  PhD & Postdoc representatives
                                                            • Scientific Advisory Board
                                                            •  International cooperation partners
                                                            • Timeline
                                                            •  Media Kit
                                                            • Contact
                                                          • News & Events
                                                            • News
                                                            • Events
                                                            • In the News
                                                            • Open Positions
                                                          • Research
                                                            • Publications
                                                            • Our Research Focus
                                                            • Technology Hubs
                                                            • Research Spotlight
                                                            • Data Management & Sharing
                                                            • Sustainability Initiative
                                                            •  Code of Conduct
                                                          • Science & Society
                                                            • For Schools & Students
                                                            • Public Events
                                                            • Podcasts
                                                            • Videos
                                                          • Support for Diversity & Equity
                                                            • Newcomer Center
                                                            • Gender Equality Program
                                                            • Early Career Investigator Program