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data with theory and computer simulations (in collaboration with Network partners), it will define basic physical rules that predict how binder clustering affects glycocalyx recognition and self
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years. The nominal length of the PhD programme is three years. The fourth year is distributed as 25 % each year and will consist of teaching and other duties. The objective of the position is to complete
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this information-gathering process. The successful applicant will have strong expertise in programming, and in particular developing AI-based computer vision methods. Ideally, they will have experience
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: Please visit our Program Website . After reading, if you have additional questions about the application process, please email ORISE.ARS.PacificWest@orau.org and include the reference code
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2026 - 23:59 (Europe/Lisbon) Country Portugal Type of Contract Permanent Job Status Full-time Is the job funded through the EU Research Framework Programme? Horizon 2020 Reference Number BI|2026/857
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regarding your status within the process. In this account, you are able to track your applicant status in "My Applications". To be considered eligible for the position as an internal candidate, departmental
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-mail account as that will be the main source of communication regarding your status within the process. In this account, you are able to track your applicant status in "My Applications". To be considered
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Program Website . After reading, if you have additional questions about the application process, please email ORISE.ARS.PacificWest@orau.org and include the reference code for this opportunity
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stars. The project applies state-of-the-art computational physics methods, particularly Smoothed Particle Hydrodynamics (SPH) with self-gravity, shocks, strength and geological equations of state
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process simulation, techno-economic analysis (TEA), and life cycle assessment (LCA) methodologies Strong computational skills, including proven expertise in programming environments (e.g., Python, Matlab