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communication skills in English Ability to work effectively in an interdisciplinary and international team Independent, reliable, and structured way of working with a strong sense for quality control Flexibility
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– in both health and disease. To this end, we combine interdisciplinary research in molecular, structural, and cell biology as well as in physiology, biophysics, epi /genetics, (bio)informatics, and
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to PRIF's success. We are looking for a new colleague to join our team in Research Department 2 “International Institutions” – which is currently exploring structural change processes of the international
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/ protein biochemistry expertise is of advantage • Experience in analyzing protein structural data (not necessarily acquiring the data) • Having already worked with GFP-like or Bacteriophytochrome-like
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projects with high societal impact A senior, independent research role with habilitation potential Structured mentoring and access to Talent Management programs An interdisciplinary and international working
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languages (e.g., Python or R) Strong motivation and curiosity Ability to work in an interdisciplinary team Structured and independent way of working We offer: An exciting and highly topical research project
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for analyzing block-like structures made of limestone and granite - Evaluation of data using acoustical imaging techniques and passive seismic monitoring - Carrying out measurements in a team of experts on and in
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laterality disorders and are tightly linked to congenital heart defects, where incorrect left–right patterning can lead to abnormal cardiac looping, malpositioning, and complex structural malformations
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Chinese is an advantage structured and goal-oriented thinking capacity to familiarise yourself quickly with new topics We offer: the chance to be part of a creative, interdisciplinary team that aims
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internship board Career Paths Business Contacts Offers for Alumni Contact persons Research Back Research infrastructure Back Digital Humanities Center LISA+ Tübingen Structural Microscopy (TSM) Research data