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through the online application tool of the PhD EPH program; Applications by mail/e-mail will not be accepted; Incomplete applications will not be considered; Applications which are not submitted will not be
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challenges, the school provides a wide variety of topics, from logic in autonomous cyber-physical systems to machine learning in Earth System models. You will have one supervisor from the mathematical sciences
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the DFG Priority Programme “Molecular Machine Learning” and embedded in the research project “Multi-fidelity, active learning strategies for exciton transfer in cryptophyte antenna complexes”. The PhD
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Description FUN01_1: Doctoral Researcher (m/f/d; E 13 TV-L, 65%) starting 1.4.2026 until 31.9.2029 Effects of geodiversity and geostability on plant genetic diversity. This project will focus
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at a German higher education institution are eligible to apply for the scholarship. Eligible candidates come from countries in the Global South (Asia, Africa, Latin America), post-Soviet states as
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learning approaches. A central aspect of this project is the formation of a complex sorption layer—known as the eco-corona—on the nanoparticles and its influence on pollutant sorption. We are seeking to hire
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the development and application of probabilistic inference methods and machine learning techniques for quantitative uncertainty modeling and for the integration of heterogeneous climate data
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institution showing excellent promise for future academic and professional careers. Moreover, applicants show civic engagement in line with the values of green policy. Academic Requirements admission to post
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missions. Prior experience with methods of statistical inference using simulations or anomaly searches with machine-learning approaches is desirable.
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explicitly request that you refrain from including photographs/photos in your application. Application documents sent by post will not be returned; they will be destroyed after the completion of the process