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, ballistocardiography, and bio-radar) in combination with machine learning based algorithms for time series analysis into the whole OSA diagnosis and treatment pathway. During diagnosis unobtrusive sensors that can be
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investigate how machine-learning based algorithms can be used to personalize the user experience. The goal of this personalized user experience is to enable each individual user to discover their own
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(behavioral) experiments, to surveys, spatial econometrics, simulations and agent-based models. The research is embedded within the chair Urban Economics Urban Economics - WUR and member of the Section
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. Project overview The project involves applying advanced statistical analysis, machine learning techniques, and modeling approaches such as agent-based modeling to analyze diverse climate and socioeconomic
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, and agentic safety. The second is on using AI in the field of genomics to aid drug discovery. The third is explainable AI for the law. We plan to use agent based methods to help the latter two. In
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. The models will be based on eco-evolutionary theory and informed with ecological and evolutionary data from public databases and published papers. This combined theoretical and data driven approach includes
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photo-bases. The work will focus on modeling of adiabatic and nonadiabatic photochemical processes to capture excited states dynamics using an array of ab initio molecular dynamics methods for excited
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agreement (preferably, 2025 Q2) Duration: 1 year, renewable based on performance and funding availability About the Position We are seeking a highly motivated Postdoctoral Researcher to lead research
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Applications Starting date: Upon agreement (preferably, 2025 Q2) Duration: 1(+1) years, renewable based on performance and funding availability About the Position We are seeking a Postdoctoral Researcher to
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based on the highest standards of teaching and research in fields related to the sustainable economic development of Morocco and Africa. UM6P is an institution oriented towards applied research and