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of research data and result summaries. Research and project tasks can cover a range of topics including: Coastal hydrodynamic and morpho dynamic numerical modeling. Field data collection and analysis
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Engineering, or Computational Science. • Strong past experience in numerical analysis and scientific computing. • Experiences in scientific machine learning, computational mechanics, and/or nonlocal models
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) quantifying the environmental footprint of recovered materials through life-cycle assessment (LCA) and evaluating their economic feasibility through life-cycle cost analysis (LCCA). This position offers a
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scientific achievements in the field of reinforced concrete structures; • Ability to model and calculate structural elements in nonlinear analysis software (preferred Atena); • Documented experience in
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Internal Number: 260781 Minimum Education and Experience: Candidate must have a Ph.D. degree in an area relevant to climatology, geoscience, climate change, natural hazards, impact analysis, and/or numerical
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(f/m/d) full time, initially limited until 31.12.2028 Remuneration according to TV-L The Göttingen Campus is hosting numerous prestigious and internationally renowned research institutions
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-of-the-art experimental techniques, innovative methodologies, and/or numerical models to make fundamental advances to existing literature. Duties will include but are not limited to: Helping develop novel
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experiments and corresponding data analysis. Following the successful demonstration of the technique, the candidate will collaborate with team members from material science to apply these methods to scientific
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of subsea power cables subjected to combined 3-dimensional waves, currents, and turbulence. This research will be approached by both numerical and physical modelling of power cable's response. The successful
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throughput genomics that informs advanced numerical analysis methods (modeling, statistics, machine learning). Plankton encompasses all organisms roaming with marine currents. Those organisms are responsible