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industry partners in the department of the same name to further develop LPBF for a wide range of industrial applications – from new machine concepts and innovative process strategies to the processing
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Machine Learning Cluster of Excellence TERRA CIN LEAD Graduate School & Research Network Collaborative Research Centers Transregional Collaborative Research Centers (CRC-TRRs) DFG Research Units Research
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analysis (e.g., econometrics, statistics, machine learning) A high motivation and the ability to work independently with a strong team orientation Excellent spoken and written English and the will
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, agricultural sciences with a focus in economics, or related disciplines strong analytical and methodological skills with a focus on quantitative data analysis (e.g., econometrics, statistics, machine learning) a
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knowledge of machine learning (e.g., in the areas of object detection and identification, generative AI, etc.) Good written and spoken English skills (min. level B2) Good written and spoken German skills (min
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analytical and methodological skills with a focus on quantitative data analysis (e.g., econometrics, statistics, machine learning) a high motivation and the ability to work independently with a strong team
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, agricultural sciences with a focus in economics, or related disciplines - strong analytical and methodological skills with a focus on quantitative data analysis (e.g., econometrics, sta-tistics, machine learning
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. Your tasks eDNA monitoring across latitudes: Work with regularly sampled demonstration sites—from tropical reefs to Arctic fjords—using harmonized protocols to detect and quantify protist parasitoids
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31 Dec 2025 - 22:59 (UTC) Type of Contract Temporary Job Status Part-time Hours Per Week 39.83 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job
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engineering Researcher Profile First Stage Researcher (R1) Positions PhD Positions Country Germany Application Deadline 30 Jan 2026 - 23:59 (Europe/Brussels) Type of Contract Temporary Job Status Full-time