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postdoc to study how supply chains can stay resilient and meet regulatory demands, using system modeling and scenario analysis. Job description Supply chains are increasingly exposed to complex and
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motivated to advance trustworthy artificial intelligence in medical imaging? In this postdoctoral position, you will work on explainable AI and foundation models for CT imaging, combining methodological
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Massachusetts Institute of Technology (MIT) | Cambridge, Massachusetts | United States | about 1 month ago
/Administrative Internal Number: 25565 POSTDOCTORAL ASSOCIATE, McGovern Institute for Brain Research and Department of Brain and Cognitive Sciences, to develop computational circuit models, analytical theory, and
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engineering from a recognized University. Strong expertise in modeling and simulation of fluid dynamics, preferably for bioreactor environments Have knowledge and familiarity with aerobic and anaerobic
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prompted by the same environmental stressors across a species’ geographic range and through time. The post holder will develop a new Bayesian model, MESS, to analyse the dynamics of extirpation. The MESS
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self-driven, highly motivated, creative with excellent communication skills in written and spoken English and Cantonese. Expertise and knowledge in AI deep learning model development on histology whole
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Job description We are recruiting 2 postdocs to contribute to research projects in the Mathematical Modelling of Infectious Diseases Unit, at Institut Pasteur in Paris. The postdocs will develop
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(UM6P) is seeking applications for a Postdoctoral researcher in the field of computational biotechnology and modelling/simulation of bioreactor under aerobic and/or anaerobic treatment of biomass
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therapeutic target identification. GenePPS aims to overcome current limitations of perturbation modelling by integrating large-scale single-cell foundation models with structured biological knowledge encoded in
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environmental stressors across a species’ geographic range and through time. The post holder will develop a new Bayesian model, MESS, to analyse the dynamics of extirpation. The MESS model will adapt