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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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focused on microbiome research Project management and coordination of related research activities Bioinformatic analysis of microbiome and clinical data AI-based mining and interpretation of omics data
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prominent member of the Leibniz Association. Our institute integrates cutting-edge biomolecular research, bioinformatics, and high-performance analytical technologies to explore the complex interactions
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(DNA extraction, DNA quality check) Bioinformatic processing and analysis of next-generation sequencing data GIS-based landscape analysis Statistical modelling of the relationship between genetic
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Association. Our institute integrates cutting-edge biomolecular research, bioinformatics, and high-performance analytical technologies to explore the complex interactions between the human organism and food
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protection information on the processing of personal data as part of the application and selection process, please refer to the privacy policy on our homepage at https://www.senckenberg.de/en/imprint/ Please
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metagenomics and preferably also with SIP very good knowledge in required bioinformatics & ecological statistics (incl. R) a high personal motivation achieving goals and a high scientific curiosity we expect
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molecular techniques to study the complex interactions within microbiomes and develop innovative solutions. With a multidisciplinary approach that includes microbiology, genetics, bioinformatics, and