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natural and AI-designed protein domains, along with an engineered fusogenic protein. The technology has been recognized with the m4 Award, the GO-Bio next program, and is currently under revision in a top
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). This project is funded by the DFG priority program SPP2474, which aims to discover new gene functions in human microbiome members (see https://spp2474.de). More information about ongoing research in
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transcriptomics programme to gain deeper insights into how different types of brain tumours grow and how brain tumour and brain resident cells interact in this process. You will contribute to these research efforts
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-Universities (RMU). In the Working group Computational Integrative Biodiversity (CIB) at the Center for Critical Computational Studies(C³S), of the Goethe-University Frankfurt am Main there is a position as
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for zone-based CT analysis” Implementation and evaluation of computed tomography measurements on several laboratory μ-CT systems in division 8.5 Support in the maintenance of the laboratory μ-CT systems in
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of vacation per year Flexible working hours Possibility of part-time work Family-friendly working environment Sustainable travel to work: subsidized Germany job ticket Our Corporate Health Management Program
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' to develop neural networks with remarkable information content: flies, which we use as a model, have brains that compute flying in 3D, navigation, metabolism and advanced learning and memory capabilities - all
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positions limited to 3 + 1 years, part-time 65 % 5 postdoctoral positions full-timelimited to 2 years one open level doctoral or postdoctoral position with wet-lab or computational focus Remuneration is
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field Modern infrastructure anda state-of-the-art-laboratory with committed colleagues to manage project-related challenges Support of new research ideas beyond the existing research program Encouragement
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combining experimental and computational approaches to: Characterize the evolution of cis-regulatory networks across primate brain development using novel single-cell omics methods Apply deep learning models