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machine learning-based systems to integrate more renewable energy into our energy systems and make energy use more efficient. We develop new optimization methods, machine learning algorithms, and
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. Close interaction with other research groups at the institute, in particular with the nonlinear algebra group of prof. Bernd Sturmfels, will be possible and encouraged. We are currently developing some
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Postdoctoral Researcher as a Junior Research Group Leader (m/f/d) - Research on and Implementation o
to conduct independent research at an early stage. The junior research group should focus on research and development of digital teaching scenarios (e.g. using AR, VR, AI, online videos, adaptive tools
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PostDoc in "Sustaining the keystone: Rethinking Antarctic krill fishery management under climate ...
waters are experiencing an increasing intensity of commercial, scientific, and political developments. The Southern Ocean is no longer a remote region (if it ever was). Scientists, fishers, and tourists
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. Are you interested in applying your machine learning and deep-learning expertise to develop cutting-edge ecological and environmental research? The Senckenberg Gesellschaft für Naturforschung invites you to
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purpose of this position is to conduct research in the field of model reduction and uncertainty quantification for biological flows. The goal of the project is, in particular, the development of robust
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research group study the genetic and epigenetic changes that drive the development of hematological malignancies by employing cutting-edge multi-omics approaches. The successful candidate will join a dynamic
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to conduct independent research at an early stage. The junior research group should focus on research and development of digital teaching scenarios (e.g. using AR, VR, AI, online videos, adaptive tools
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At Helmholtz Munich, we develop groundbreaking solutions for a healthier society in a rapidly changing world. We believe that diverse perspectives drive innovation. Through strong partnerships, we accelerate
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available in the Division of Proteomics of Stem Cells and cancer, headed by Prof. Jeroen Krijgsveld. Our division develops innovative proteomic approaches to understand proteome regulation in cancer, both in