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Georgetown University, Technology and Society Position ID: Georgetown University -Technology and Society -PDA [#30261] Position Title: Position Type: Postdoctoral Position Location: Washington
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Group Leaders and Postdoctoral Researchers: Global Call for Scientific Talent at Fondazione Telethon
asset of our network is the close interaction with experts in regulatory science, CMC (chemistry, manufacturing and controls), and translational development, which significantly enhances the potential
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including text mining, machine learning, network science, choice modelling, causal inference, and agent-based modelling with the aim of developing deeper, mechanism-based understandings of important social
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skills and qualifications: A recent PhD (completed within the last 5 years) in computer science, electrical engineering, or a related field. Strong background in network interconnect design and
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, under the supervision of Professor Nidal Hilal, Director of the Water Research Center and Global Professor of Engineering and professor Raed Hashaikeh, Professor of Mechanical Engineering. The successful
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fabricate and characterise large area perovskite solar cells through scalable methods. The successful applicant will have (or be near to completion of) a PhD in Physical Sciences with expertise in halide
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experimentation on optical communications in metro and access networks in support of next generation of mobile services. The position will be based in the CONNECT research centre, in The School of Computer Science
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related fields (e.g., biology, biophysics, biomedical engineering). A very competitive salary as well as substantial material and personnel support will be provided to the postdoctoral fellow leading
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Job Advertisement HKI-31/2025 The Leibniz Institute for Natural Product Research and Infection Biology (Leibniz-HKI I https://www.leibniz-hki.de/en/ ) investigates the pathobiology of human
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projects ranging from score-based generative models, energy-based models, Bayesian analysis of graph and network structured data, highly multivariate stochastic processes; with data applications ranging from