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Field
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. Furthermore, traditional business models are starting to alienate parts of the general public by losing track of their interests and concerns. Overall, these issues are complex, because society changes in ways
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structural modeling, machine learning, and competitive intelligence to infer demand using partial or aggregated signals. While early results are promising, important questions remain: Which partial data is
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their PhD, and seek employment as a (tenure-track) assistant professor. Required profile Candidates should have a strong interest in finance, but not necessarily an MSc or MPhil degree in finance since
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a VICI NWO grant. Keywords Algorithmic bias, Causal Inference, Discrimination, Fairness, Machine Learning, Targeted Marketing Campaigns Topic The marketing group at Rotterdam School of Management (RSM
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domains. Develop hybrid AI architectures combining symbolic domain knowledge, real-time data streams, and probabilistic inference. Design and evaluate decision support tools capable of interacting with
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characterized by applying protein biochemistry methods. In addition, you will study plant resistance in different tissues by employing bioluminescent Xcc reporter strains that allow us to non-invasively track
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territories in the Philippines Experience and good track record in communities’ engagement in sea nomads’ location in the Philippines (Sama-Bajau) Experience in conducting: 1) in-depth, qualitative
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Experience in conducting ethnographic field research in natural resource governance, in particular in the context of forest governance in the Thai-Myanmar borderlands Experience and good track record in
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to track how the prevalences of different strains in a mixed sample change over time. Your role: You will develop and implement algorithms to find, quantify and track mutations in evolving populations
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. For example, we would like to be able to track how the prevalences of different strains in a mixed sample change over time. Your role: You will develop and implement algorithms to find, quantify and track