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Field
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free-electron lasers. A wide variety of magnetic material systems are studied, such as magnetocaloric materials, permanent magnets, catalysts, magnetic nanoparticles, and molecular spin switches. Your
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funded projects Your Profile Completed doctoral degree in materials science, chemistry, physics, engineering or a related field In-depth knowledge of semiconductor technology and the physics of solar cells
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: • A doctoral degree in mathematics or a closely related field. • An outstanding publication record, commensurate with experience, and a strong background in at least two of the following areas: Hopf
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skills. Strong statistical skills, particularly in experimental design and data interpretation, are highly desired excellent skills in English (C1 level or higher) What we offer: transdisciplinary
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Deutsches Zentrum für Neurodegenerative Erkrankungen | Bonn, Nordrhein Westfalen | Germany | about 1 month ago
within an interdisciplinary and international team, as well as with external partners. PhD in neuroscience, biology, or a related discipline Solid experience in animal research, including rodent models and
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contribute to regular coordination meetings Document findings in internal reports and publish results in high-quality scientific journals Your Profile: Master’s degree in Electrical Engineering with a strong
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, RNA seq, single cell sequencing, spatial transcriptomics), bioinformatics tools and human studies. Your profile: PhD in bioinformatics, oncology or computational biology profound experience in system
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quality in a thematically related field (e.g. battery technology, automotive engineering, electrical engineering) and have previously completed your master's degree in a technical field, such as mechanical
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Computing” – PIs Alfonso Caiazzo and Francesco Romor) and FU Berlin (PI Ana Djurdjevac). We are looking for: a highly motivated researcher with at least 3 years of research experience in a field related to
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with at least 3 years of research experience in a field related to numerical fluid mechanics, scientific computing, or model-order reduction, who is willing to engage in innovative and interdisciplinary