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to Understand and Improve Veterinary Infectious Disease Models The interdisciplinary 3RTG Graduate School invites applications for PhD positions in the field of infectious disease research using animal models
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for 3D bioprinting. Active participation in the research activities of the research groups. Provide expert feedback and mentoring to MSc and PhD students. Present your research findings both internally and
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aspects. 2 Selection criteria The candidate should hold a PhD degree in mathematics or a related discipline. Knowledge of solid mechanics, partial differential equations, asymptotic methods, numerical
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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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coupled to operando analytics, e.g. ICP-MS. (previous works e.g.: https://www.nature.com/articles/s41563-019-0555-5). Ideally, the applicant takes over the co-supervision of selected PhD candidates. We
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, profound knowledge in ecological concepts related to stability and functional traits, experience in handling big datasets, and an excellent expertise in statistical analyses. The candidate should hold a PhD
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Max Planck Institute for Medical Research, Heidelberg | Heidelberg, Baden W rttemberg | Germany | 13 days ago
interest in developing new technologies for real-world applications Good experimental skills in optical lab or cleanroom A master/PhD degree in physics/chemistry/material science Experience with numerical
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.110.014405 . H. Oliveri, C. Godin, and I. Cheddadi. Towards an active matter theory of plant morphogenesis, 12 2025. URL https://arxiv.org/abs/2512.05554 . arXiv. Requirements The candidate should hold a PhD
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Postdoctoral Position (m/f/d) in Experimental Bio-Spectro-Electrochemistry at the University of Bonn
are currently extending these methods into the UV regime to enable studies of UV-absorbing chromophores such as DNA and RNA. We seek a highly motivated postdoctoral researcher whose PhD training aligns with our
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Qualifications A PhD in astrophysics, physics, applied mathematics, or a closely related field Extensive experience with Information Field Theory (IFT) Strong practical expertise with Numerical Information Field