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Field
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surface waters, preferably in estuaries; Experience in fieldwork and processing of oceanographic data (in particular CTD data); Knowledge of MATLAB or Python; Experience in numerical modelling; Fluency in
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and numerical simulation of irradiation of atoms and molecules by laser pulses, First-principles electronic-structure theory using real-time density functional theory. Refereed publications in
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the vision of a chip-scale, high-power EUV source for applications including EUV lithography and imaging. Key responsibilities include: Developing theoretical and numerical frameworks in free-electron-driven
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to advance nearshore hydrodynamic modelling by integrating data-driven and physics-based approaches for simulating wave propagation, wave transformation, and wave–current interaction from deep water to shallow
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plasmas. Run and analyse large-scale simulations; quantify particle/heat transport and turbulence statistics. Validate and interpret results with collaborators, and document outcomes in publications and
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control-system development. • Experience in multi-agent systems, autonomous systems, marine robotics, or coordinated control is advantageous. • Familiarity with numerical simulation and integration
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Admission Requirements Experience with numerical simulations. Experience with design Additional Information Benefits Monthly Maintenance Allowance: €701.12 Funding Entity: Instituto Superior Técnico (IST
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. The research will involve developing analytical models, performing large-scale numerical simulations of open quantum systems, investigating decoherence and noise processes, and exploring new architectures and
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. The research will involve developing analytical models, performing large-scale numerical simulations of open quantum systems, investigating decoherence and noise processes, and exploring new architectures and
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to analyze large experimental and clinical datasets, as well as simulate brain molecules, cells, and circuits, to deepen our understanding of brain function. These efforts aim to accelerate the discovery