38 multiple-sequence-alignment positions at Technical University of Munich in Germany
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restrictions only applications from EU citizens will be considered. Tasks The chair is involved in multiple research projects focussing on novel UAV solutions for a variety of civil and military applications. It
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data are essential. This has also been appreciated with the nomination “technology of the year 2019” by the journal Nature Methods. Our research group employs state-of-the-art single cell sequencing
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. More than 70 professors from multiple TUM faculties collaborate within MIRMI, fostering an exceptional environment for cutting-edge, high-impact research. Position Overview We are seeking an exceptional and
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” Project context The PhD position is embedded in the DFG Research Unit “MultiStress - Concurrent multiple abiotic and biotic stress interactions in maize: impacts and mecha-nisms” (RU 6101). The MultiStress
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interrogation. We have developed methods that allow cells to autonomously export transcriptomic information at multiple timepoints, enabling researchers to track dynamic changes in gene expression during cell-to
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the opportunity to develop and conduct independent research that aligns with the lab’s interests in active learning, information search, decision-making, and cognition from a developmental perspective. The
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and low ignition energy, is used as efficiently as possible. As a result, vessels can achieve lower fuel consumption and drastically reduce greenhouse gas emissions, aligning with global decarbonization
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, mostly in the mouse. The primary objectives include: • Mapping the developmental trajectories of MZ B cells by various methods, including single cell sequencing • Investigating the mechanisms underlying
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. • Expertise in Flow Cytometry, particularly in multi-color FACS staining and cell population analysis. • Experience/Interest in single cell RNA sequencing experiments. • Excellent proficiency in English, both
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species spanning hundreds of millions of years across all layers of gene regulation and under different growth conditions. Moreover, EPIC will design nearly a million sequences to systematically test and