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The Leibniz Institute for Agricultural Engineering and Bioeconomy is a pioneer and a driver of bioeconomy research. We create the scientific foundation to transform agricultural, food, industrial
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the field of electrical engineering / information technology or in a related field of study in an independent way of working and enjoy interdisciplinary teamwork good language skills in German and/or English
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scientific results in (high impact) journals with a peer-reviewed process Requirements: The ideal candidate holds a PhD in Bioinformatics / Computational Systems Biology or a closely related scientific discipline
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qualification - PhD/MSc degree in bioinformatics, computer science, mathematics, life sciences - background in Machine Learning and/or RNAseq analysis - interest in biological applications - passion for science
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recommendation systems for traffic optimization Bridging quantum technology and Reinforcement Learning Reinforcement Learning for path and trajectory planning in aerospace systems Vision-language-action models
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to the table Studies in (business) informatics, information technology in mechanical engineering, physical engineering, mechanical engineering, or related fields Experience in setting up and operating ML
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natural sciences expertise in materials science and materials engineering, in particular methods of computational material science (e.g. DFT, CALPHAD) programming skills, e.g. Python basic knowledge of data
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of courses. It is integrated into the faculty’s teaching program with two semester hours per week and includes the supervision of examinations and theses. Requirements: You must have a research profile in the
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TUD Dresden University of Technology, as a University of Excellence, is one of the leading and most dynamic research institutions in the country. Founded in 1828, today it is a globally oriented
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-time or part-time) LEIZA is planning a new, internationally oriented journal for the publication of fundamental findings from archaeology and its neighbouring sciences, in which qualitative and