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Description: This project is in the research field of applied evolutionary ecology, aiming at understanding ecological and evolutionary processes that may be relevant for the development of sustainable plant
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conduct world-leading research in the development of microwave-based technologies for medical diagnostics, treatment, and monitoring. Our research activities span computational modeling, algorithm
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application! This position is in a lab with an interest in many aspects of theoretical ecology (coexistence, niche theory, ecological networks, metacommunities, eco-evolutionary dynamics, and more), where you
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of scientific data, e.g. from image acquisition modalities or scientific simulations. Efficient algorithms are at the core of most of these data analysis and visualization applications. The focus of this Ph.D
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general problem for all life that underwent endosymbiosis at some time during their evolutionary history. Depending on the applicant’s interests, the project can take several directions. One option is to
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, within the subject of the position, e.g. within genetics, genomics, evolutionary biology using bioinformatical approaches or within molecular biology addressing evolutionary questions. While there are no
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-organelle coordination. Besides plant cells, such coordination is a general problem for all life that underwent endosymbiosis at some time during their evolutionary history. Depending on the applicant’s
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safety. You will work on developing control algorithms all the way to performance assessment in test vehicles. The project combines theoretical aspects of control algorithms, experimental design, and
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, coordination, and decision-making algorithms for multiple autonomous agents—such as robots (robotic manipulators, drones, or vehicles)—that work together to achieve common goals in dynamic, uncertain
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CST Microwave Studio, HFSS or EM Pro for antenna modeling and design is required, as is experience with programming languages like MATLAB, Python, or similar for antenna array analysis and algorithm