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background in linear algebra, finite fields and rings; Strong background in digital hardware design and design automation; Excellent hardware design, programming, and debugging skills; Experience with computer
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, or a similar field; Strong mathematical background: basic knowledge of graph theory and excellent background in linear algebra, finite fields and rings; Strong background in digital hardware design and
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transparent and intelligible. Although explainable AI methods can shed some light on the inner workings of black-box machine learning models such as deep neural networks, they have severe drawbacks and
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years, practitioners and researchers have realized that predictions made by machine learning models should be transparent and intelligible. Although explainable AI methods can shed some light on the inner
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related discipline in which chemistry and biology have been combined. independent in performing synthetic organic chemistry. experience with (immune) cells, microscopy imaging methods, and/or cell-based
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materials in the steel industry. Using Dynamic MFA with alloy-level tracking, it quantifies flows and stocks of elements such as copper, chromium, nickel, molybdenum, vanadium, and niobium. The research
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critical materials in the steel industry. Using Dynamic MFA with alloy-level tracking, it quantifies flows and stocks of elements such as copper, chromium, nickel, molybdenum, vanadium, and niobium
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synthetic organic chemistry. experience with (immune) cells, microscopy imaging methods, and/or cell-based assays is highly preferred. high intrinsic motivation for multidisciplinary and translational
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data governance, especially in relation to equity and sustainability. Familiarity with socio-legal literature and qualitative research methods. Experience working with social movements and civil society
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passionate atmosphere. The themes of Health and Well-being, Social-Cognitive-Affective Decision Making, Development and Learning, and Advanced Behavioral Research Methods guide research and education. The