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committed work style Advanced experience in preparing data according to conversation-analytic criteria and standards (e.g., transcription, metadata documentation) and relevant tools (FOLKER, ELAN, etc
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, Learning Analytics, Data Science, Cognitive Science, or a related field, strong scientific profile, with nationally and internationally visible research (shown by relevant publications) in fields highly
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of Chemistry is equipped with state-of-the-art analytical, experimental, and data processing methods and is integrated into a strongly interacting and collaborating scientific environment with the Departments
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will perform live-cell imaging experiments and analyze data You will collaborate with other members of the team in advance microscopy and super-resolution techniques You will develop leadership skills
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object interaction (using environments such as MuJoCo, PyBullet, or NVIDIA Isaac Sim) Adaptive feedback control using learned and analytical models Physics-informed machine learning for deformation
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-scale / high-throughput analyses. Your Role: Interest in physical, spectroscopic and analytics measurements and associated technologies Creative approach to developing and adapting analytical methods
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within a few months), for example in economics, social science or related field Excellent mathematical and analytical skills from fields such as mechanism design and optimal taxation Familiarity
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that might integrate spatial analytical methods Excellent command of the English language (written and oral) Strong organizational skills and ability to work independently Love for working in
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and processing of industrial policy data and ensuring rigorous analytical methods are applied. Your Profile Required: Ph.D. in Economics Proven expertise in industrial policy research Fluent in English
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should have demonstrated in-dependent experience in designing and carrying-out ethnographic fieldwork, and in qualitative data analysis. - Experience with participatory design or participatory