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Field
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: Develop data-driven numerical models (opinion models, norm dynamics, multi-agent systems). Network Science: Study social and temporal interaction networks using network physics tools. Simulation: Conduct
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the performance and sensitivity of a future space mission for cosmology. The candidate will be required to simulate the performance of a specific instrument using Python code in order to predict the sensitivity
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the project team, you will ensure the simulation of drone missions using state-of-the-art tools for AI learning and demonstration. You will be responsible for producing training data for vision models and
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the project. Position You will work actively on the preparation and defence of a PhD thesis in Interior Architecture and in Architecture and Urbanism, with a focus on the link between the past and present
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well as international collaborations with Academia. Application procedure and deadline: Required documents: CV; Letter-of-intent; 2 letters of reference; Copy of PhD diploma (or equivalent); Contact information
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curiosity-driven research while embedded in the New York City and New England regions that catalyzes industrial and societal engagement. AI3 postdoctoral scholars will be encouraged to pursue their own
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publications A general description of past research and future research interest Contact information of at least two references A copy of your doctoral degree certificate, and any other certificates/grades
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and simulation Prior experience with particle accelerators and/or FELs is highly desirable Familiarity with machine learning techniques is a plus but not necessary Excellent command of English is
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to develop innovative solutions to address the problem of scalability of quantum computing and simulation platforms based on neutral atoms, helping to consolidate the role of Friuli Venezia Giulia as a
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crops. The primary objective is to simulate the impact of climate change, such as rising temperatures and altered rainfall patterns, on the yield, yield components and sustainability of these crops