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Max Planck Institute for Biological Cybernetics, Tübingen | Bingen am Rhein, Rheinland Pfalz | Germany | 5 days ago
researchers with different backgrounds to collaborate and develop their skills to bridge molecular, cellular and organismal levels. Relevant work experience comprises planning and performing preclinical fMRI
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simulation of scenarios with different materials and geometries. - Support the development and implementation of signal and image processing algorithms, including fast inversion techniques, FFT, and nonlinear
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for the year 2025/26. Eligible international students will need to make up the difference in tuition fee funding (Band 3 for the year 2025/26). The student will receive a standard stipend payment for
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. These forecasted data will then be used to propose and optimize an energy management strategy for an EC comprising a number of prosumers, consumers, ESSs, and EVs. Different vehicle-to-home and vehicle-to-community
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We are constantly balancing different movement goals as we walk through the world – maintaining stability, moving efficiently, and perhaps hurrying to catch a bus! Suboptimal control of gait can
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coupling, applications, and development of regional ocean models. Capitalising and contributing to this effort, this project will Investigate effective downscaling strategies for different regional ocean
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experience with finite element or finite difference modelling and its underlying fundamentals. The student should be able to program in MATALB or Python (MATLAB preferred as lead supervisor is more familiar
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collaborate with members of different research groups within DTU Biosustain or beyond and teach and supervise BSc and MSc students. We offer two scholarships tackling two different projects: Project 1
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these methods to quantify phase transformation, plasticity, damage, fracture, and particle volume/sizes for the parameters space that is relevant for wafer handling. Map out the different regimes of silicon
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clustering of landslides across different scales (4) often triggered by earthquakes or intense rainfall events (3,5). These findings demonstrate that the rates and pattern of landsliding change through time