167 cloud-computing-"https:" "https:" "https:" "https:" "https:" "https:" "St" "University of St" positions at Leibniz in Germany
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Student or Scientific Assistant for Remote Sensing Data Processing and Cloud-based Workflows (f/m/d)
university Basic understanding of remote sensing and Earth observation data Familiarity with Python or R and interest in working with cloud-computing environments Ability to work independently, with attention
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The Bernhard Nocht Institute for Tropical Medicine (http://www.bnitm.de/en ) is the largest Research Institute for Tropical Medicine in Germany and is the National Reference Centre for Tropical
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., food processing, bioconversion and fermentation processes) Self-supervised learning for multimodal sensor data (e.g., spectroscopy, hyperspectral imaging, 3D point clouds, and other high-dimensional data
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The LIT - Leibniz Institute for Immunotherapy (foundation under civil law) (https://lit.eu ) is a biomedical research center in the UNESCO-world heritage city of Regensburg. Our objective is to
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immediately) Supervisor(s): Prof. Tilman Grune / Prof. Christian Stoppe Enrolment in a Doctoral Program: German Institute of Human Nutrition / University of Potsdam Project description: This project aims
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applications for a permanent W3 professorship with a focus on computational and/or experimental approaches in neuroscience. The position is jointly appointed at the Faculty of Natural Sciences, OVGU, and
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Currently enrolled in Bioinformatics, Data Science, Computer Science, Computational Biology, Statistics, or a related field Interest in microbiome research, ecological data analysis, and machine learning Good
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SAFE and Goethe University Frankfurt offer funding to excellent applicants to the Doctoral Program in Law, Finance and Economics for three years with the option to extend for one additional year
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Leibniz Institute of Plant Biochemistry (IPB) in Halle (Saale), Germany, where we are offering a fully-funded PhD position within the DFG Priority Programme SPP2363: “Molecular Machine Learning”. About the
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-related traits, and heterosis. In the era of large population size and dense genomic data such as whole-genome sequencing, new algorithms are needed to remove the bottleneck of computational load for such a