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these mechanisms, as they reca-pitulate key aspects of embryonic development and tissue morphogenesis in vitro. The group of Prof. Bausch investigates the physical principles underlying these emergent processes and
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physically located in the newly built Hamburg Center of Translational Immunology (HCTI). Our lab space is equipped with state-of-the-art tools, and we have access to a range of core facilities. We maintain our
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underrepresented groups to apply. The review process is on a rolling basis. Please refer to the “Application Procedure” section for details on how to apply. Current Openings Safety, Performance and Reliability in
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to state-of-the-art facilities and a stimulating research setting. Participate in teaching and supervising activities, enriching your academic and professional skills. Application Process: Interested
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-source tools related to the project. Your Profile Required Qualifications PhD in Bioinformatics, Computational Biology, Computer Science, Physics, or a related field. Strong programming skills (e.g
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the University of Vienna (Austria). Projects in the CRC 1756 aim to elucidate the molecular mechanisms of the generation, sensing, and cellular responses to chemical and physical triggers by applying
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at andreas.mulch(at)senckenberg.de For data protection information on the processing of personal data as part of the application and selection process, please refer to the privacy policy on our homepage at https
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, we welcome applications from talented people, regardless of gender, cultural background, nationality, ethnicity, sexual identity, physical ability, religion and age. People with severe disabilities
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engineering, physics, health economics, or related quantitative field Strong quantitative and programming skills (e.g. R, NetLogo, or similar) Experience in infectious disease modelling and/or model-based
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scientist with a strong background in: MR Physics, Data Science, Biomedical Engineering, or a related discipline Solid experience in MRI acquisition and data analysis, ideally in cardiac and/or brain imaging