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Kunsthistorisches Institut in Florenz - Max Planck Institute, Florence, Italy | Germany | 23 days ago
original scholarship, and willingness to become a constructive and committed part of a group of international scholars are essential. The candidates will participate in the group’s activities and the
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) Exchange and close collaboration with partners from physics, computer science, and social psychology Your Profile: Completed master`s degree followed by a doctorate in physics, computer science, mathematics
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verification scalable and reliable. Learn more about logical zonotopes: [paper link ] | [talk link ]. You will conduct original research on logical zonotope based methods for model checking and digital circuit
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The Johann Wolfgang Goethe University Frankfurt am Main is one of the largest universities in Germany with around 41,000 students and with about 5,800 employees. Founded in 1914 by Frankfurt
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Master Positions Country Germany Application Deadline 15 Dec 2025 - 23:59 (Europe/Berlin) Type of Contract Permanent Job Status Full-time Hours Per Week 40 Offer Starting Date 1 Mar 2026 Is the job funded
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Profile: A Master`s degree and an excellent PhD degree in Biochemistry, Chemistry, or a related Molecular Science Proven Track Record in Machine Learning, Molecular Simulations, Chemoinformatics
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-motivated, bright individual with a master's and PhD degree in biochemistry, biology, bioinformatics, molecular medicine, or a related subject. Previous experience with biochemical and molecular biology
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) Contribution to scientific publications, project reports, and international conferences Supervision and mentoring of PhD students and Master`s students Writing and support of third-party funding proposals Active
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, colloquia and conferences) Active involvement in research networks (e. g. DZD) Skills and Requirements Excellent master and doctoral degree in neuroscience, biochemistry, biology or any related discipline
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Focus on chromatin biology and its interplay with transcriptional dysregulation in cancer Work with cell line systems, hiPSC-based disease models, primary patient samples, and PDX models Plan and perform