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for image-based modelling Your profile PhD in physics, materials science, computer science, applied mathematics or a related field strong background in image processing and analysis, including deep learning
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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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' 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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21809 thanbichler@uni-marburg.de We support women and strongly encourage them to apply. In areas where women are underrepresented, female applicants will be preferred in case of equal qualifications. As a
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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
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computational microbiome research. The specific focus of the project will be tailored to the candidate’s interests and will align with the objectives of the aforementioned consortia. These projects work at the
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Center CRC1690 (Disease Mechanisms and Functional Restoration of Sensory and Motor Systems, https://sfb1690.uni-goettingen.de) and the newly founded Else Kröner Fresenius Center for Optogenetic Therapies
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The Max Planck Institute of Biophysics is a leading international research institute that uses biophysical, biochemical and computational methods to investigate the structure, dynamics and function