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their energy consumption and their carbon footprint are significant. This has led many research projects to focus on optimizing these two objectives. This PhD takes place in the context of distributed
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data. This interdisciplinary approach is designed to foster insights into the operational principles of molecular motors. Overview: We seek a highly motivated PhD candidate to join our interdisciplinary
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). The LEGI carries out a wide range of activities with a common core of competences: research in fluid mechanics and transfer. A PhD position is available with following objectives: • Develop a novel two-phase
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wavefront correction on very short spatial and temporal scales. While designing systems with a larger number of actuators and a faster response time is not that challenging conceptually, realizing
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/Qualifications Required Skills and Qualifications: - PhD or doctorate in pharmacology, bioinformatics, statistics, or a related field with specialization in machine learning acquired during initial or subsequent
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scientific community in the field of seismic hazard or natural risks; Customer relations skills, taste for innovation, co-construction of innovative solutions and transfer of research results to operational