1,510 machine-learning-"https:" "https:" "https:" "https:" "https:" "https:" "Ulster University" positions in Germany
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the application which project you are specifically interested in. Further details on the projects can be found here: https://www.fz-juelich.de/en/jcns/careers/fellowships/tasso-springer-fellowship-program Your
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the development and application of probabilistic inference methods and machine learning techniques for quantitative uncertainty modeling and for the integration of heterogeneous climate data
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knowledge of English, both written and spoken Proven track record of publishing in peer-reviewed journals Strong work ethic For any inquiries, please visit our web page, https://ralser.group/e/ , or contact
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for the position even if you do not have all the required skills and knowledge. We may be able to teach you missing skills during your induction. Our Offer: We work on the very latest issues that impact our society
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well as basic research with the combined tools 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
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at https://www.linkmetabolism.com . Your tasks: Engineering and optimization of microbial strains for cyanophycin production using thermo-switches and CRISPR-based tools. Integration of targeted and
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bacteria. This is a collaborative project with the Mager Lab (immunology). You can find more information about our group at https://www.linkmetabolism.com . Your tasks: Construction and screening of CRISPR
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: April 9 - July 15, 2026 Application:https://www.ageing-grad-school.de/master/master-programme-overview Contact:cga-coordination@uni-koeln.de Website: https://www.ageing-grad-school.de
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imaging techniques. We offer a 3-year initial contract with the possibility of a 3-year extension with a salary at the TV-L E14 level. Details at https://www.uni-kiel.de/personal/de/stellen/extern/wiss
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++, Python, and JavaScript languages, multi- and many-core SoC, RISC-V, hardware synthesis, hardware-software co-design, (meta-heuristic) optimization algorithms, machine learning frameworks, (bonus topics