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From safer surgery to sustainable factories and net-zero supply chains, we increasingly rely on robots to do work that is difficult, repectitive, or chronically understaffed. To be truly useful
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opportunities with access to state-of-the-art facilities an excellent scientific network a prestigious graduate school program with a project-adapted curriculum (training courses, lectures etc on scientific
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architected materials or metamaterials (MTM) that can undergo targeted non-linear response. You will develop a computational framework that can reveal novel Multiphysics (thermo-mechanical) MTM solutions
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, which allows the candidate to tailor a flexible individualized course program Training in a wide range of skills including research management, communication, networking, presentations, writing
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or equivalent Skills/Qualifications Candidate must be: a graduate of a master’s program in biology, biotechnology, medicine, pharmacy, or related fields at a Polish university, or an active PhD student (doctoral
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-performance computing and simulation-based inference (e.g. neural network emulators or nested sampling) Training will be provided in all aspects of the project, including computational statistics, stellar
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Max Planck Institute for Demographic Research, Rostock | Rostock, Mecklenburg Vorpommern | Germany | 9 days ago
advanced statistical and computational methods for understanding demographic dynamics. The MPIDR is part of the Max Planck Society, a network of more than 80 institutes that form Germany’s premier basic
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Genomics (EvoMG) is a MSCA Doctoral Network programme that pioneers an integrative approach combining Evolutionary Medicine and Medical Genomics to address critical health challenges. By combining
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- Markovian Processes - Network Based Localisation / Radio based connectivity - Adaptive bandwidth - Mesh networking - Wireless Sensor Networks - Edge Computing - Time Delayed Systems - Adaptive Queuing
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helpful taxa from the soil. This PhD project builds on that work by examining how single-strain inoculations initiate and structure microbial networks around plant roots. By identifying key interactions and