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of candidates, great emphasis is placed on study results and completed courses. An earlier specialization in machine learning, control theory or mathematics is highly desirable and especially meritorious After
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or her work collaborate with others, have a professional approach and analyze and work with complex issues. draw from critical, feminist theories as a way of stimulating a design process utilise creative
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for photophysical simulations (MOMAP, FCclasses, or custom handmade codes) are prioritized. In order to communicate with experimentalists (synthetic chemists and experts in device engineering) the basic knowledge in
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issues. knowledge in process modelling and material/energy balances programming skills (Python) qualitative research methods, innovation theory, socio-technical systems theory After the qualification
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and functions of different actors within organisations. Through reflective and critical approaches, current empirical phenomena are explored, contributing to the development of theories and perspectives
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their ability to: independently pursue his or her work collaborate with others, have a professional approach and analyze and work with complex issues. Experience in machine learning, algorithmic theory, or code
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accountable and inclusive technologies. As a researcher, you will be part of an interdisciplinary team working at the intersection of computer science, feminist theory, and social justice. You will contribute
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of ecological processes involving animals and plants across a range of spatial and temporal scales understanding of raster data processing including the theory and implementation of relevant algorithms
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sustainability demands of future AI-driven applications. Together, these positions provide unique opportunities to advance both theory and applied technologies in 6G, while contributing to standardization