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systems, including methods for colloid characterization Spatially resolved surface analysis using interference microscopy and autoradiography Derivation and parameterization of mechanisms Interdisciplinary
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the development and application of probabilistic inference methods and machine learning techniques for quantitative uncertainty modeling and for the integration of heterogeneous climate data
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, underwater gliders, micro-AUVs, and ship-based sampling), remote sensing products, and high-resolution numerical models. The work will improve understanding of coastal ecosystem variability, support better
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embedded in the Bremen Research Cluster for Dynamics in Logistics (LogDynamics) (http://www.logdynamics.de ). LogDynamics is a cooperative network of research groups from five different departments
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SFI FAST: PhD position in Microstructure/texture evolution during extrusion of scrap-based Aluminium
models. Profiles of varying complexity will be studied. The candidate will establish and validate numerical simulations, collaborate with industrial partners, and demonstrate results through relevant
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Profile Essential Qualifications Master’s degree (or equivalent) in Mechanical/Civil/Computational Engineering, or related. Strong background in numerical methods in engineering, computational mechanics
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nanolab cleanroom to realize these designs. You will use state of the art microscopy methods to map the performance of your structures, moving to progressively more advanced prototypes. This project is
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unable to load from YouTube. Accept cookie and refresh page to watch video, or click here to open video) About the position The Structural Mechanics group (https://www.ntnu.edu/kt/research/sm ) is
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dedicated to the study of all aspects of concrete. Our research interests range from the material to the structural level and are based on theoretical, numerical, and experimental investigations. The PhD
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factorization schemes and implementing them in numerical codes. Where to apply E-mail jobs@ifj.edu.pl Requirements Research FieldPhysicsEducation LevelPhD or equivalent Skills/Qualifications -experience in