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circuit models and algorithms for estimating the charge, health, and power based on direct methods (e.g. open circuit voltage), model-based methods (e.g. Kalman filtering), data driven methods (e.g. machine
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use and application of data-driven scheduling software, and provides data-informed recommendations to support academic planning and enrollment management decisions collegewide. Duties and
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and executing experiments, overseeing undergraduate researchers, and collaborating closely with the PI and other lab members in a fast-paced, discovery-driven environment. Responsibilities include: Lead
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Join ABC Labs and KTH as an Industrial PhD Student to build data-driven models of human biology with multimodal health data — interdisciplinary impact, real-world healthcare. About the role We
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of quantitative (satellite) earth observation (e.g., radiative transfer modelling, data-driven (ML/DL) modelling, time-series, data assimilation), and willingness to delve deeper into these topics. Good programming
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close collaboration with Prof. Vlasios Mavrantzas (a collaborator in the lab), to capture entropy-driven network-scale effects and refine rubber elasticity models for dynamic networks. Complementary
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model integrates rigorous academic study with professional experience, producing graduates who are career-ready from day one. Summary: Reporting to the Dean of the D'Amore-McKim School of Business (DMSB
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expertise. Are scientifically curious, independently driven, and motivated by biologically meaningful modelling problems. Have good teaching abilities. Have awareness of diversity and equal opportunity issues
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, including genetics, transcriptomics, microbiomics, metabolomics, and immune system markers. The division leverages this data and advanced AI, medical, and computational models to generate insights
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, including the mathematics of deep learning, large language models, and computational methods for AI systems. Successful candidates are expected to provide academic leadership by establishing, managing, and