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descriptors, molecular simulations, and machine learning, this PhD project seeks to predict ion-exchange isotherm parameters directly from molecular properties. These predictions will be integrated
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skills in Python, Java, C++, etc. A solid foundation in generative AI, machine learning, and related areas. An Interest in eye-tracking technology, Computer Vision, Speech/ Language Processing, VR, and AR
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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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. Additional requirements: PhD with a strong background in Molecular and Cell Biology. Hands-on in vitro and ex vivo experience in human disease modeling using primary cells, tissue slices or iPSCs. FACS
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position (m/f/d) in multiscale, multiphysics, mathematical modelling of plant morphogenesis as soon as possible. Description of the project Plant growth is a complex hydromechanical process in which cells
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C3 /C4 transitions occurred in the past Publish results in scientific journals with highest scientific standards Your Profile Master or PhD degree in Biology, Plant Ecology, Environmental Modelling
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: NeuroTranslate investigates how AI systems translate neural activity into speech and action, and how this translation reshapes agency, responsibility, legitimacy, trust, and men-tal privacy. The project adopts a
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Beginning Only for doctoral programmes: any time Application deadline It is possible to apply at any time. Tuition fees per semester in EUR None Combined Master's degree / PhD programme No Joint degree
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data processing, image/signal analysis, and machine learning. ✅ Familiarity with instrument control, calibration, and automation workflows. ✅ Excellent written and oral communication skills in English
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motivated applicant to join the working group of Prof. Dr. Axel Janke. The successful candidate will be closely involved in gene flow, evolutionary, population or phylogenetics processes to study speciation