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solutions for home office and 30 days of paid holidays An amazing team and the possibility of getting involved in something big A large network of people in the space business Possibility to enroll as PhD
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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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with customers, picking-up people or parcels, on the other hand, it should be possible to focus on the most important aspects and simplify the model to allow integration into large-scale transportation
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and tenacity to carry through in projects Expertise and/or Master’s degree in big data, network analysis, machine learning, and data visualization or strong motivation to undergo intensive training
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with customers, picking-up people or parcels, on the other hand, it should be possible to focus on the most important aspects and simplify the model to allow integration into large-scale transportation
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data analyses (e.g. via machine learning) to qualitative analyses (e.g. via interviews) to support ambitious policies for climate and energy transitions. This position Reaching climate targets requires
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preferably relevant prior experiences Interest in Large Language Models (LLMs) and their applications Interest in Model-Driven Engineering (MDE) Interested in collaboration with major players in automotive
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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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data analysis and programming skills are a plus • Very good communication and writing skills • Organizational skills and meticulous experimentation and analysis practices • Great enthusiasm
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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