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profile Completed university studies (Master/Diploma) in the field of Physics (Computational-, Plasma Physics, Optics) or related field Mastery and use of the scientific method Experience in numerical
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challenges facing modern societies. Specifically, the tasks are: Identify state‑of‑the‑art machine‑learning (ML) methods that can be applied to geochemical systems in geological contexts Assess these methods
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simulation environments, numerical methods, or machine learning approaches is an advantage Fluent command of written and spoken English is necessary; German is an advantage but not required High degree
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developing methods to transfer ion-induced damage results to neutron-induced damage scenarios and accelerating material development cycles. The findings provide not only a scientifically sound assessment of
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Completed university studies (Master) in Chemistry or related field Experience in metal-organic syntheses Experience in working with glove boxes and Schlenk methods Experience in X-ray diffraction techniques
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glove boxes and Schlenk methods Experience in X-ray diffraction techniques and other structural characterizations Experience in working with radionuclides, esp. actinides and TRU elements is of advantage
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techniques is highly desirable and knowledge of basic microscopy methods is an advantage. Interest and/or experience in working at the interface between wet and dry lab is a plus. Interest in working
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cytometry methods Experience with cell culture techniques is highly desired Previous experience with genomics approaches and data analysis is a plus. Interest in working in a project with wet and dry lab
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cells. Your tasks Cultivation of mammalian cells Biochemical as well as cell and molecular biological methods to study the interactions of alpha emitters with mammalian cells Characterization
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and Marine Research. The tasks include: scientific advancing methods of satellite altimetry analysis over the Antarctic Ice Sheet analysis of measured surface elevation changes in conjunction with