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Field
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industrial applications. The automation of work machines, such as cranes and forklift trucks, is a strategic research goal within our unit. In the future, these machines will take over repetitive and dangerous
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work through innovation. We help our partners by making technical systems more robust, reliable, flexible and easy to use. At the same time we increase the resource efficiency of industrial processes by
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, image processing/computer vision to image content analysis - using both traditional and modern machine learning and AI methods.
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24 Aug 2026 Job Information Organisation/Company Johannes Kepler University Department Institute for Machine Learning Research Field Computer science Researcher Profile Recognised Researcher (R2
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the subject English, or a comparable degree Strong written and oral communication skills Excellent English proficiency, spoken and written IT user skills (computer literacy) Ability to work in a team Desirable
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processing. Experience with multivariate statistics, machine learning or computational modelling. Familiarity with Linux, high-performance computing, version control and reproducible research practices
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and oral communication skills Excellent English proficiency, spoken and written IT user skills (computer literacy) Ability to work in a team Desirable: Good knowledge and solid understanding of language
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administrative law Teaching skills are a plus Strong written and oral communication skills Excellent written and spoken German Very good written and spoken English Basic computer skills What we offer: Inspiring
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phenotyping, machine learning and advanced statistical approaches. The doctoral project will be developed jointly with the successful candidate and tailored to their methodological background, previous research
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(payable 14 times per year) Responsibilities The applicant is expected to establish an own research group with focus on advanced machine learning and deep learning techniques for remote sensing applications