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cortex, analyze neuronal population data, and build generative or predictive models to simulate cortical responses. The position requires strong experimental engagement and a collaborative mindset within a
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simulations of planet formation through N-body simulation, focussing on models of planetesimal and pebble accretion. Additionally, it requires the implementation of different disk models and formation
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discovered exoplanets and exoplanetary systems as compositional and dynamical guide. This includes conducting numerical simulations of planet formation through N-body simulation, focussing on models
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and dynamic reservoir modelling, and flow simulation. The candidate will work in a team of geologists, geophysicists, geochemists and staff with strong machine learning and numerical modelling
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Technology has a vacant 3-year Post Doc position at the Faculty of Engineering in fundamental research on risk assessment and decision support for autonomous systems. The position is funded by the ERC AdG
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structure such as X-ray crystallography, NMR, chemical cross-linking, cryo-EM, etc. An understanding of protein modeling and simulation. Additional Qualifications ConsideredEmpty heading May require
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developing theory, innovative modeling tools for large-scale biophysical simulations, and computational frameworks for analyzing increasingly large and complex experimental datasets. Living systems are built
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, and structural components. Modeling/simulation of the optical path inside the sensor for high efficiency. Optimization of the positioning of the optical components. Calibration of the detection system
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relating to CCU. This may include studies of how varying expert communities portray the role of Carbon Capture and Usage in the climate transition, for instance through modelling. Third, studies of CCU
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of grant in question, pursuant to paragraph 5 of article 6 of the Scientific Research Grants Regulation of the Portuguese Institute for Quality, I. P. 9. Scientific Supervisor: Doctor Florbela Aura do