1,576 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "U.S" positions in Germany
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references) by February 16, 2026 (stamped arrival date of the university central mail service or the time stamp on the email server of TUD applies), preferably via the TUD SecureMail Portal https
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of slightly reduced working hours ( https://go.fzj.de/near-full-time ) 30 days of annual leave and provision for days off between public holidays and weekends (e.g. between Christmas and New Year) A large
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to better balance work and family life. You can find more information about working at the University of Potsdam at https://www.uni-potsdam.de/en/arbeiten-an-der-up/employer-up/overview For more information
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. You can find more information about working at the University of Potsdam at https://www.uni-potsdam.de/en/arbeiten-an-der-up/employer-up/overview For further information about this position, please
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University of Potsdam, Faculty of Economics and Social Sciences | Potsdam, Brandenburg | Germany | 3 months ago
. Our Service for Families can advise you on how to better balance work and family life. You can find more information about working at the University of Potsdam at https://www.uni- potsdam.de/en
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-XRF, Raman, FTIR in reflection mode) to enable multimodal data fusion and automated material characterization. • Apply and further develop machine-learning and statistical models (e.g. PCA, SAM
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Helmholtz Centre for Environmental Research - UFZ • | Leipzig, Sachsen | Germany | about 18 hours ago
for learning German are provided. Mode of study Less than 50% online Programme duration 6 semesters Beginning Only for doctoral programmes: any time Application deadline Applications for open doctoral positions
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using X-ray and neutron scattering. The main research areas are materials for photovoltaics, proteins in solutions and at the interfaces, complex nano-structured materials and machine learning tools
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Technologies at TUM’s School of Engineering and Design is looking for a doctoral researcher (f/m/d) in the area of Collaborative Machine Learning for the Energy Transition. You are passionate about machine
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. Contact details of at least two references. All the other positions offered by COMBINE can be found in https://euraxess.ec.europa.eu/jobs/401249 The position is suitable for disabled persons. Disabled