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environments) into a unified control system Testing, troubleshooting, and ensuring reliability of automated beamline operations under extended deployment conditions Design and implementation of data acquisition
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(BIGS Mathematics) Teaching language English Languages Courses are held in English only. The thesis can be written either in German or English. Full-time / part-time full-time Programme duration 6
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-ray scattering, materials science, and/or experimental methods at large-scale research facilities Experience in scientific programming (e.g. Python), data analysis and handling/managing large datasets
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field, with several years of experience in distributed databases, large-scale data management, and data archiving Proven expertise in handling large datasets, particularly in geospatial and diachronic
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Master's degree / PhD programme No Joint degree / double degree programme No Description/content BIGS-OAS investigates the cultures and societies of Asia and the Middle East in change through time and the
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applications for a PhD-student (m/f/d; 65%, 3 years in first instance) to work on a large-scale €6m multi-site Wellcome-funded project. This position is suited for researchers who have finished or are about to
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. Hoffmann’s research group, an innovative project is being conducted on the processing and analysis of seismic data from a large-scale Distributed Acoustic Sensing (DAS) network. This network is installed
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) mixtures under various atmospheric conditions in the large atmospheric oxidation chamber SAPHIR Conduct airborne aerosol measurements onboard a Zeppelin airship Apply advanced data analysis methods
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large Cluster of Excellence. The position offers broad opportunities to collaborate within MATH+ and across Berlin’s vibrant mathematics and data science community.
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Your Job: Develop methods and workflows to construct robust co-regulation networks from large single-cell and spatial transcriptomics datasets Integrate ontologies and metadata (e.g., tissue, cell