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Field
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programming and know how to use version control. ▪ You are experienced in the usage of machine learning (e.g., Actor-critic algorithms, deep neural networks, support vector machines, unsupervised learning
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English Languages Courses are usually held in English. The dissertation is written in English. Mode of study Less than 50% online Programme duration 6 semesters Beginning Only for doctoral programmes: any
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in April 2025, with the successful transfer of the ACES instrument to the ISS using a Dragon space craft launched by a Falcon-X rocket. Currently, the ACES instrument is being comissioned. The work
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pursued within a structured graduate program of the CRC integrated into the Graduate Academy of the University of Stuttgart (GRADUS). The University of Stuttgart symbolizes exceptional, internationally
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out within the DFG Priority Programme “DaMic - Data-driven Alloy and Microstructure Design of Sustainable Structural Metals” (SPP 2489), in close collaboration with a research partner responsible for
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, Data Science, or a closely related discipline Strong interest in interdisciplinary research at the interface of Artificial Intelligence, Data Science, and Life Sciences Excellent programming skills
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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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? Join us at the 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
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experiences in working with remote sensing data, climate data and programming skills (R or Python) are desired. You enjoy working in an international team and you are keen on developing a key set of research
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program) by e-mail (in a single PDF file) by 15.06.2025 to: info@isse.tu-clausthal.de Please do not hesitate to contact us if you have any questions. We look forward to hearing from you! Please note our