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Evaluation, analysis, and visualization of data Documentation of laboratory work Collaboration with project partners and regular presentation of results Your profile: M.Sc. or a degree in a natural science
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to identify, characterize, and understand structural instabilities in these materials, with measurements conducted as a function of hydrostatic pressure, uniaxial stress, and temperature. Density Functional
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measurements to identify and characterize these states, with experiments performed as a function of temperature and uniaxial stress. Density Functional Theory (DFT) calculations can complement the experimental
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and Sustainability. Our work centers on cell-free systems and the engineering of life-like compartments. THE PROJECT Biomolecular condensates are fascinating cellular structures that can rapidly
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cytometry, ELISA experience with animal experiments is an advantage interest in translational work and molecular mechanisms the aspiration to learn multiple cutting-edge techniques good oral and written
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team of nutritionists, biochemists and clinical working persons at the institute. State-of-the-art equipment and infrastructure will give every possibility to perform the work. We offer multiple
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to enable quantitative, high-resolution, time-lapse monitoring of soil properties and will be implemented using high-performance parallel computing. This PhD position offers the opportunity to work at the
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PhD students (multiple positions) Artificial Intelligence within Public Health Research (all genders) Start date: 01.10.2026 Contract type: 3 years (fixed-term) Location: Wildau Deadline: 30.04.2026
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team from Friedrich Schiller University Jena, the Max Planck Institute for Biogeochemistry, the Jena University Hospital, and the Senckenberg Institute for Plant Form and Function jointly develops AI
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related fire regimes by conducting factorial experiments using multiple climate-change scenarios Requirements: a master’s degree in biophysical, environmental and/or ecological sciences ability to work with