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Field
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). • Experience handling large datasets from empirical studies, surveys and GIS desirable. • Interest and experience conducting research in livestock systems, agricultural technologies. • Interest in
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developed techniques to the SVEA (Small VEhicles for Autonomy) platform designed for large-scale transportation experiments. The position is full-time (100%) TV-L E13. Qualifications: • A Master’s degree in
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in Life Sciences or in Computational Biology • Experience in flow cytometry, cell culture and in high-dimensional single-cell data analysis and programming skills are a plus • Organizational skills and
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processes, and the application of AI methods in engineering. Description: Nowadays, computer-aided manufacturing (CAM) methods are used to a large extent for the production of complex machine components, in
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position is part of a large cooperation project with partners from industry and academia. The candidate will measure and model data on the reaction kinetics and mass transfer in reactive chemical systems. A
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high resolution from big geospatial data Exchange with our scientific partners Publishing the developed approaches in international journals and conferences Requirements Promising applicants have: A
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of specialization include: Web Application Engineering Model-based Systems Engineering AI for Software Engineering Software Engineering for ML Big Data Architectures Cloud Architectures Contribution to Software