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robotic approaches to assist with uncovering novel disease biology, with an initial emphasis on gastrointestinal organoids in collaboration with the Boutros group, while retaining flexibility to extend
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Centre, the Neutron-SimLab or various physicochemical characterization methods and workshops. The opportunity to help shape a new department. Access to the infrastructure of the Institute
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The Leibniz Institute for Financial Research SAFE - Sustainable Architecture for Finance in Europe - (www.safe-frankfurt.de ) promotes scientific research, transfer work to the public and independent policy advice on all aspects relating to the structure and functioning of the financial system....
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: Analysis and Geometry Appl Deadline: 2025/07/13 11:59PM (posted 2025/06/06, listed until 2025/08/25) Position Description: Apply Position Description In the Faculty of Faculty of Computer Science
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signaling and metabolism in a truly translational context to help patients? Apply, join and succeed in our team in the pursuit of improved understanding of heart failure with preserved ejection fraction
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direction of research family-friendly, flexible working time models, part-time option, remote work, additional days off on December 24 and 31 corporate health management and sports activities through egym
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is connected to the vibrant local ecosystem for data science, machine learning and computational biology in Heidelberg (including ELLIS Life Heidelberg and the AI Health Innovation Cluster ). Your
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The International Research Training Group (IRTG) 2445 ‘Temporalities of Future in Latin America: Dynamics of Aspiration and Anticipation’ is part of the Institute of Latin American Studies of Freie Universität Berlin. The Mexican-German interdisciplinary project is funded by the German Research...
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intelligence and perception. Its three central innovation sectors are the future of health, the future of work, the future of the environment, and the future of mobility. 70 professors from various TUM faculties
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computer science, bioinformatics or related fields Solid understanding of machine and deep learning and relevant frameworks (e.g. Pytorch or Tensorflow, Keras, scikit-learn, OpenCV) Proficiency in Python, Linux and