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the potential for long-term societal impact. Join us in uncovering the biology of aging and shaping the future of healthy longevity. Training and research within the PhD program is interdisciplinary. Lecture
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for research and employees from all over the world. We are looking for a PhD position on studying intrinsically disordered proteins by NMR and single molecule FRET (f/m/d) (Ref. 09/2025) to join the group
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for applying living therapeutic materias. The PhD thesis will be embedded in the Leibniz Science Campus on Living Therapeutic Materials (https://www.lsclifemat.de ), an interdisciplinary consortium aiming
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Leibniz Association. The following position is available at the Institute subject to approval by the funding organization from October 1, 2025, for a fixed term of three years, in the program area "Next
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The research groupGenetics and Physiology of Root Development studies crop root anatomical and architectural traits. Research is mainly focused on cereals including barley, wheat, and maize. We aim
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, structured PhD program for all doctoral candidates working at LIV with binding guidelines developed based on the Leibniz Association's guidelines for graduate education. Our program offers multidisciplinary
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applications for a fully funded PhD position in Behavioral Biology (m/w/d) We are in search of a PhD candidate to conduct research within the project “Linking social and communication networks in ring-tailed
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microorganisms catalyze the freezing of cloud droplets. These substances are a significant source of so-called ice-nucleating particles, particularly over remote marine regions. The aim of the advertised PhD
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The Leibniz Institute for Tropospheric Research (TROPOS) is an internationally renowned institute in the field of aerosol and cloud research. The Atmospheric Microphysics Department (AMP) researches atmospheric aerosol particles, their interactions with clouds and turbulence, and cloud...
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Leibniz Institute of Plant Biochemistry (IPB) in Halle (Saale), Germany, where we are offering a fully-funded PhD position within the DFG Priority Programme SPP2363: “Molecular Machine Learning”. About the