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information at: http://www.ifw-dresden.de The Institute for Materials Chemistry IMC at the IFW Dresden offers a Scientist/PhD-Student position (m/f/d) starting from 1 October 2025 and limited for 36 months in
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network of passionate young scientists in Munich. WHAT DO WE OFFER? A structured PhD program created by Munich-based Max Planck Institutes and Universities with English as the main language Individual
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München (TUM), to deliver first-class training for the world’s most promising young scientists. Our graduate school comprises more than 250 PhD students from 40+ countries as well as 38 distinguished and
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strengthen the data science and machine learning activities of the IAS-9 with exciting new topics. You will work in a multidisciplinary team of enthusiastic data scientists, software developers and domain
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exciting new topics. You will work in a multidisciplinary team of enthusiastic data scientists, software developers and domain scientists on, e.g.: Developing self-supervised learning frameworks to extract
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Max Planck Institute for Dynamics and Self-Organization, Göttingen | Gottingen, Niedersachsen | Germany | 6 days ago
The PhD students will engage in theoretical and/or computational research in Nonequilibrium Statistical Physics and Active Matter, under the supervision of Ramin Golestanian. For more information concerning
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scientists and, therefore, especially encourages them to apply. Further information: Please contact Prof. Dr. Gianni Panagiotou | https://www.leibniz-hki.de/de/mbd-mitarbeiter-innendetails.html?member=865
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of computer simulations to refine the targeted synthesis even more and predict the self-assembly even better. Who we are The Research Training Group RTG2670 – Beyond Amphiphilicity in the second funding phase
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modellers, molecular biologists and data scientists across IBG-3 and IBG-4 Communicate your science by presenting at conferences, publishing software and peer-reviewed publications Your Profile: Master’s
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transcriptomics and single-cell RNA sequencing on patient samples • Mining and analyzing public cancer databases (TCGA, GEO, etc.) and omics data • Inferring TLS formation and maturation stages from