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two-peak directional wind structure (frequent SW and less frequent NW/NNW strong winds) (Soomere, 2003), results in the frequent occurrence of high waves that approach the shore at a large angle
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also take into consideration market benchmarks, if and when appropriate, and internal equity to ensure fair compensation relative to the university’s broader compensation structure. We are committed
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, this PhD position might be the right fit for you! You will develop methodology for sustainability assessment of aggregate resource use in the construction sector applying a dissipation perspective on the
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with leading experts in medicinal chemistry, molecular and structural biology. Enrolment in the Graduate School of Life Science, which offers a wide range of skill building courses. Excellent networking
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structures, access to space, multidisciplinary design and concurrent engineering, uncertainty treatment and optimisation, machine learning. (https://www.strath.ac.uk/ ) Task description for your Individual
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simulations to study ion transport mechanisms, interfacial chemistry, and membrane stability. The researcher will develop structure–property relationships and work closely with experimental partners to validate
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Your Job: In the CrowdING project, you will analyze experimental data from large crowds and develop quantitative measures to describe their spatial structure. To do this, you will use and expand
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to the university’s broader compensation structure. We are committed to offering competitive and flexible compensation packages to attract and retain top talent. Benefits Rutgers offers a comprehensive benefits package
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are looking for a highly motivated and curious PhD candidate to contribute to the next generation of real-time, AI-driven decision support for multimodal construction logistics. The successful candidate will
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at the department. The main supervisor will be Prof. Dr. Kathy Lüdge from TU Ilmenau. Where to apply Website https://jobundkarriere.tu-ilmenau.de/jobposting/80cd5964173be4cf2a6646500503798… Requirements Research