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, host genetics, and addiction vulnerability. The postdoctoral fellow will lead the development of cutting-edge, explainable graph neural network (GNN) models that integrate microbiome functional profiles
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corridor, or various bunker infrastructure strategies in the network. In addition, the impact of the feasible interventions can be evaluated, ranging from the individual ship level and its emissions
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or ready to stay in Belgium during the research The following expertise is considered an advantage but is not mandatory: Experience with kinetic modelling, reaction network development, parameter estimation
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. The postdoctoral fellow will lead the development of cutting-edge, explainable graph neural network (GNN) models that integrate microbiome functional profiles, host genetic variation, and behavioral phenotypes from
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23 . A reasonable estimate for this position is $69,073- $79,881. Application Window Open date: May 26, 2026 Next review date: Wednesday, Sep 30, 2026 at 11:59pm (Pacific Time) Apply by this date
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identified in financial data, and then the analysis will be extended to social data (which has already been collected). The successful candidate will: Develop and apply Symbolic Transfer Entropy estimators
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human health. Aligned with Rutgers University–New Brunswick and collaborating university wide, RBHS includes eight schools, a behavioral health network, and five centers and institutes that focus
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technology, optics, mechatronics, computer engineering, or a related discipline. Strong motivation, scientific curiosity, and commitment to scientific excellence. Experience in one or more of the following
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biomedicine and health. It provides foundations and advances in quantum information sciences to enable quantum computers, devices, and networked systems. It develops community applications, data assets, and
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the United States (U.S. News & World Report, 2023). With a global alumni network of approximately 280,000 – including leaders at many of the 24 Fortune 500 companies headquartered in North Texas – UTA contributes