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Fritz Haber Institute of the Max Planck Society, Berlin | Berlin, Berlin | Germany | about 5 hours ago
project within the SusMax network focused on developing interpretable machine-learning frameworks for kinetic multiphase reaction-network discovery in the catalytic conversion of renewable feedstocks
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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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PostDoc in "Sustaining the keystone: Rethinking Antarctic krill fishery management under climate ...
among Subareas 48.1 to 48.4. With no consensus among member states to renew this measure, the fishery now has unrestricted spatial allocation within area 48, heightening concerns over localised
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-Omics factor analysis disentangles heterogeneity in blood cancer. Molecular systems biology (2018) Further information Contract duration: This position is a 2 year contract, renewable to a maximum of 5
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on the design and evaluation of innovative data- and machine learning-based systems to integrate more renewable energy into our energy systems and make energy use more efficient. We develop new optimization
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on the Danube, is the intellectual hub for renewable materials and technologies for sustainability in Germany. The successful applicant will hold a 2-year contract that can be prolonged. We offer a competitive
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be renewed yearly based on the scientific and coordination achievements of the candidate. You will work closely with supervisors and researchers from MIRMI (in both Munich and Garmisch-Partenkirchen