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bioengineering, synthetic biology, molecular self-assembly, physics, chemistry and other related fields will be considered, but should have an interest in applying ideas from algorithms and computer programming to
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evaluation. Previous knowledge of belief/trust for vehicular cooperative perception is a distinct advantage as is experience with algorithm development and networking simulation. Candidates should have
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development and training dataset generation. The processed training datasets will be used to develop classification algorithms, in conjunction with Swisens, to identify different fungal spores in near-real-time
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