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candidate will carry out an analysis of how the European legal framework (including the AI Act, GDPR, worker rights frameworks) supports and/or restricts AI adoption in the uptake of AI in the process of
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described in the project overview. Owing to the current composition of the project team, there will be a mild preference for candidates opting for project 2 on “Models and machine learning”. An explanation
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ethnographic and creative methods, combining scholarly analysis with field-based, artistic, or community-engaged approaches. The position offers space to develop your own trajectory, while contributing to a
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research and analysis. Experience with participatory research and community-engagement activities are considered a relevant bonus. - Has excellent communication, interpersonal and teamwork skills, and is
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and research skills, able to express (own) ideas and arguments at an academic level. Has experience in and affinity with qualitative research and analysis. Experience with participatory research and
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on logic to precisely describe the system in question and check desired properties, with both academia and industry recognising its importance. Distribution is an integral part of innumerous computer systems
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check desired properties, with both academia and industry recognising its importance. Distribution is an integral part of innumerous computer systems, providing them with essential improvements to aspects
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, energy-related datasets. Proficiency in Python, MATLAB, and/or Julia for modeling, simulation, and data analysis. Familiarity with GIS tools (e.g. QGIS), time-series databases (e.g. InfluxDB), and version
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systems—commonly referred to as neuromorphic computing—holds the potential to create highly intelligent machines capable of supporting a wide range of everyday applications, from autonomous vehicles
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systems—commonly referred to as neuromorphic computing—holds the potential to create highly intelligent machines capable of supporting a wide range of everyday applications, from autonomous vehicles