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. An optimisation tool has been developed that uses a genetic algorithm to optimise the location of BGI taking surface water flood risk reduction and the cost of different interventions into consideration. This PhD
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for combined network design and resource pricing, incorporating fairness for different transport aspects (e.g., accessibility, emissions, safety) employ state-of-the-art metaheuristic algorithms (e.g., genetic
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construction and visualization of pangenomes for crops with large genomes Summary: Pangenomes are highly relevant for grains RD&E pre-breeding research because they capture the full spectrum of genetic diversity
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skills and be interested in developing a collaborative program of applied research in robotics. For example, this may include sensor development, applied robotic perception, algorithm development, or other