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Your Job: The work is part of the joint project “Towards sustainable production by regenerative agriculture and agroecology in a changing climate” (ReGenFarm). Together with Bayer Crop Science, IBG
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to study the molecular and cellular mechanisms involved in brain activity. The Institute develops innovative methods in imaging, chemistry, physiology and computer science. As part of Bordeaux Neurocampus
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correlations between active galactic nuclei, especially blazars, and neutrinos detected by KM3NeT. In this context, he or she will play a key role in the KM3NeT real-time data analysis group, as well as in
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Mathematics/ Approximation Theory to be filled by the earliest possible starting date. The Chair of Applied Mathematics, headed by Prof. Marcel Oliver, is part of the Mathematical Institute for Machine Learning
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the supervision of Mayssun El-Attar Vilalta, Economics Faculty Lecturer, the Research Assistant will work on research related to computation and data analysis in economics. This work will take the form of data
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world of sustainable materials in our three-year doctoral program, conducted entirely in English. Become part of an international community of scientists in Germany's vibrant Rhine-Ruhr metropolitan region
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Kennziffer: 11189 Fixed-term of 3 years | Part-time with 65% (25 hours/week) | Salary according to salary group 13 TV-L | The Department of Cardiology I – Coronary and Peripheral Vascular Disease
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Department:Pathology Salary Salary:$62,232.00 to Commensurate Position Details Full/Part Time Status:Full Time Percent Time:100% Position Description: A postdoctoral position is immediately available in the laboratory
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. Become part of an international community of scientists in Germany's vibrant Rhine-Ruhr metropolitan region. This unique program offers an intensive interdisciplinary approach, with a special focus on
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knowledge in the following topics: monitoring the enzyme mediated reactions by HPLC, UV-spectroscopy; emzyme immobilization; the use of immobilized enzymes in batch and flow reactors; nanomaterials analysis