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to observe and understand how societies evolve over time. One focal point of the Macroscope is language, specifically the research infrastructure needed for the annotation and analysis of textual data
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Circuits Project description: Neuronal synapses are remarkably heterogeneous and dynamic structures that vary widely in molecular composition, nanostructure, and signaling strength. This rich variety
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by developing a general mathematical theory of symmetries in BP and efficient algorithms for symmetry detection and exploitation. While the related field of mixed-integer programming (MIP) primarily
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contribute to developing this theoretical framework, with a strong focus on analytical modeling, computational methods, and the interpretation of learning signals embedded in physical structures. Recent
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with research on innovation systems, infrastructure, governance, or industrial policy. Strong qualitative and/or mixed-method research skills. Excellent writing skills, with the ability to produce both
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optical spectroscopic signals Establish correlations between solution-based degradation data and solid-phase results to facilitate the use of liquid phase as a proxy for solid samples. Collaborate with
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, governance, or industrial policy. Strong qualitative and/or mixed-method research skills. Excellent writing skills, with the ability to produce both academic and policy-facing outputs. The ability to work
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, currents and mixing responses, use established and novel approaches to quantify submesoscale heterogeneity across the array and conceptualize its impact on mean air–lake exchange. You will work closely with
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-source software, and help shape emerging methodologies for scientific AI and foundation models. Applicants should indicate a primary research track, although collaboration between tracks is expected. Track
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, awarded by time of appointment, and a grade of at least 8.0 on a ten-point scale (or equivalent) Well-developed research skills, including the ability to formulate creative research questions, descriptive