1,516 machine-learning-"https:" "https:" "https:" "https:" "https:" "https:" "NORTHUMBRIA UNIVERSITY" positions in Germany
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another related discipline, by the time employment starts Practical experience in machine learning, especially deep learning and its practical application in the domain of sensor analysis Practical
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four different AC-voltages, independent of the distance covered https://arxiv.org/abs/2108.00879 . Theoretical consideration indicate good prospects for maintaining spin-coherence of the shuttled
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and manufacturing technologies for the manufacture of innovative products. We develop new machines and processing strategies on behalf of customers, optimize existing production systems and implement
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performance criteria. Interested? We look forward to your application! Please upload your CV and motivation letter by February 28th, 2026 via our online application system: https://www.leibniz-inm.de
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and experience or willingness to learn methods, in particular the morphological, chemical, and microbiological characterization of plant samples Very good knowledge of statistical data analysis and data
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approach familiarity with the German academic system and the country’s policy landscape We appreciate your willingness to acquire German language skills. The University of Hamburg and the GIGA will provide
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of immunology, microbiology, virology, cell biology and molecular biology. For more information, please see https://www.mhh.de/hbrs/zib MD/PhD Molecular Medicine:The program aims to form a bridge between Science
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-supervised by a bioinformatics-focused and a biology-focused PI. A Master’s degree or equivalent in natural or computer sciences with excellent marksand a very strong experience in single-cell sequencing
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fee: 80 EUR student service fee: 115 EUR student body fee: 14 EUR For more detailed information, please check our website: https://www.uni-konstanz.de/en/study/study-essentials/finances/other-fees
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postdoctoral research track record and are expected to build and lead a group to pursue a high-quality research programme. Current research interests within the Division of Condensed Matter Theory (https