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an advantage if you bring one or more of the following: Experience with Explainable AI. Experience with Deep Learning. An interdisciplinary background / interdisciplinary training. Have followed
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of the following: Experience with Explainable AI. Experience with Deep Learning. An interdisciplinary background / interdisciplinary training. Have followed courses in Psychology or Philosophy
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, Planetary Health & Environment, and Climate & Life. The department hosts a highly international tenured staff of over 50 scientists and more than 110 PhD students and postdoctoral researchers. We house or
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microscopy techniques. Working closely with a postdoctoral researcher to use your experimental observations as constraints for micromagnetic simulations, systematically assessing how size, shape, and
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. This position offers unique opportunities for your growth and development. During your PhD, you will gain deep expertise in Generative AI, specification engineering, and empirical software analysis. You will also
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on behavioral lab experiments but may also include other empirical approaches depending on how the project develops. During the PhD, you will: Learn how to combine theory-driven empirical sociology with
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generate new knowledge and critically assess approaches that integrate scientific insights with artistic research to address climate justice. JUST ART PhDs will study and develop concrete cases to learn how
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Social Science, or related field; has strong affinity with the study of families and economic inequality; has experience with both quantitative and qualitative research (or is motivated to learn both types
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the project develops. During the PhD, you will: Gain expertise in theory-driven empirical sociology Learn to derive hypotheses from deductive theoretical reasoning through formal methods on sociological
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learning. Your job In the ERC project FoRECAST, we aim to develop theory (e.g., new probabilistic and differential inference algorithms as well as proofs of their correctness and efficiency) and systems (e.g