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://blog.nus.edu.sg/geospatialx/ ), based in the Geography Department at National University of Singapore, has conducted a series of infectious disease transmission and control studies. We are seeking to recruit
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neuronal network dynamics control state transitions and the organization of behavior. The scientific focus of our group is the investigation of large-scale neuronal network dynamics in the model organisms
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of the School of Dental Medicine including both a community- based and a generalist model of dental education. Additional duties as assigned by the Director of Pre-Doctoral Clinical Education, Chair of General
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information: https://monacklab.stanford.edu/publications This is a great position for someone interested in gaining broad research experience in microbiology, bacterial genetics and mouse models. The ideal
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. Preferred Qualifications: Experience in decision analysis and developing computer-based simulations to model either infectious or non-infectious diseases. Evidence of research productivity in mathematical
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, University of South Bohemia, České Budějovice, CZECHIA https://www.prf.jcu.cz/en/peatlands We are seeking a postdoctoral researcher to join our Peatland Ecology Group to investigate plant–soil interactions and
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acquire advanced expertise in navigation models, spatial representation, object representation, and relational knowledge representation, as well as in planning algorithms based on probabilistic models and
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SuccessFactors Faculty rank and compensation will be based on experience and academic credentials. Next Lives at the University of Cincinnati Founded in 1819, the University of Cincinnati ranks among the nation?s
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sources of quantum light for optical quantum computers. The project takes place in the Quantum Light Sources group at DTU Electro, where we design, model, fabricate and test sources of single photons
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an interdisciplinary and international environment. Candidates should send their applications by April 30th through https://cv.newton-6g.eu/ Incorporations will begin in May 2026. DC1: Data-driven models for CF networks