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Student or Scientific Assistant for Remote Sensing Data Processing and Cloud-based Workflows (f/m/d)
or Scientific Assistant for Remote Sensing Data Processing and Cloud-based Workflows (f/m/d) Your tasks: Support in processing satellite and UAV remote sensing data on cloud platforms Adaptation and optimization
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the European research infrastructure ACTRIS. Main Tasks: Operation of a suite of on-line mass spectrometers (ToF-ACSM-X, VOCUS-PTR-MS) and further instrumentation to measure atmospheric composition in the gas
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and infrastructure facilities of the Leibniz Association . The DPZ’s Primate Data Science (PRIDAS) platform seeks a position for Data Scientists – Computer Vision (m/f/d). The position is suitable
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backgrounds, and maintaining and troubleshooting mass spectrometry instrumentation. The candidate must demonstrate deep expertise in general proteomics, and extensive hands-on experience in processing diverse
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organizational levels of the brain – from molecular and cellular processes to complex neuronal networks and behavior. In association with the SFB 1436, Neural Resources of Cognition (supported by the German
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. Word documents cannot be processed and therefore cannot be considered!) with the usual documents, in particular CV, proof of qualification and certificates, stating the reference number 01-2026 until 22
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technologies. One key focus of IOM is on fundamental physical and chemical processes using ions, electrons, plasmas and photons. We are part of the Leibniz Association, one of the four major non-university
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responsible for Planning and independent execution of experiments Establishment of new methods and sample preparation strategies Preparation of human and murine samples Coordination of co-operation projects
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: MikrobiomProCheck – Establishment of clinical microbiome analyses Continuous further development of existing methods and procedures for sample processing and quantitative proteome analysis for use in the joint
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-efficient manufacturing processes – an important component of the cluster's interdisciplinary approach to sustainable technologies beyond Earth. Leibniz-IWT stands for research in the field of new materials