1,532 machine-learning-"https:" "https:" "https:" "https:" "https:" "https:" "U.S" positions in Germany
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. Adapt, develop and learn new tools, software, and methodologies independently. Present and publish research in both academic and non-academic audiences. Attend and participate in academic and non-academic
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skills. More information may be found on the ENERPOL home page: https://cordis.europa.eu/project/id/101226229 The position provides salary according to TV-L 13, which is in accordance with EU guidelines
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existing methodologies. Carry out literature review, hypothesis development, and experimental design. Adapt, develop and learn new tools, software, and methodologies independently. Present and publish
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on developing the imaging system as well as novel machine learning approaches for image analysis and disease classification using field data from German and Brazilian agricultural trials. Responsibilities Design
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, their achievements and productivity to the success of the whole institution. At the Faculty of Mechanical Science and Engineering, Institute of Manufacturing, the Chair of Forming and Machining Technology is offering
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semesters Beginning Summer semester Application deadline November/December (For exact dates, check our website: https://www.gsoses-ur.de/ ) Tuition fees per semester in EUR None Combined Master's degree / PhD
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personal qualifications will be given preference. Please submit your application via the online application system by 1 April 2026. Where to apply Website https://www.uni-bremen.de/forschung/foerderangebote
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(see https://www.uni-regensburg.de/universitaet/jobs-und-karriere/familien-service for more information). Candidates with disabilities and essentially equivalent qualifications will be given
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qualifications, the salary is based on remuneration group 13 TV-L of the pay scale for the German public sector. Please apply online with proof of the required qualifications (without a photo) under https
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2021 Dec 10;478(23):4099-4118. doi:10.1042/BCJ20210508.Zaman et al. BioRxiv 2024; doi: https://doi.org/10.1101/2024.04.15.589474 ). In this PhD project, we will validate these molecules and interrogate