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Professorship in Distributed Data and Knowledge Engineering (open rank) The University of Basel invites applications for a Professorship in Distributed Data and Knowledge Engineering to join the
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also lead the design of rigorous impact evaluation approaches – e.g. randomised controlled trials – and the statistical analysis of the resulting data to build robust evidence of what works in
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, structural, and machine-learning-based models to marketing questions Analyze large-scale field, market, or platform data to identify causal effects of marketing actions (e.g., pricing, advertising, AI
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genomics data, from sequencing and imaging, and apply them to human developmental and disease biology. Possible research directions include: ● Generative models of cell–cell communication . Move
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PhD Student Position in Interoperable Digital Workflows for Regenerative Building Design and Perform
), Life-Cycle Assessment (LCA), embodied and operational carbon, circularity and material-reuse indicators, building monitoring, sensor data, Post-Occupancy Evaluation (PoE), and feedback from building
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Mission The Data-Driven Mechanics Laboratory invites applications for a fully funded PhD position at the intersection of computational mechanics, multiphysics of geomaterials, and interpretable
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Observation, environmental modelling and geospatial data science. The position is part of Vertical Africa (VERTICAF), an interdisciplinary research project funded by the Swiss National Science Foundation
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Your mission We are offering a challenging position as a full-time (100%) PhD Student at ENAC Faculty at EPFL, Sion. As a PhD student, you will develop technology for humanitarian data mining and
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, peri-urban areas, and satellite settlements. VERTICAF’s scientific contribution is threefold: (1) to develop methods for measuring verticality and its impacts in data-scarce contexts, in Africa and
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consumer behavior theory in the context of new technologies in marketing Conduct empirical research using online experiments/surveys (e.g., Qualtrics and Prolific) and conduct statistical data analyses