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Field
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novel algorithms and models that enable autonomy and adaptivity, validating them in a range of scenarios involving physical or simulated robots. Specific areas of interest include cross-disciplinary
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predictive modelling and analytics, computer vision, and evolutionary algorithms. Whereas the lab is currently focusing on building a smart manufacturing technology. The lab has advanced resources with all 3D
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limited to the development and implementation of approaches that interface with living systems through novel materials and algorithms, electric and magnetic fields, ultrasound, optics and targeted radiation
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to the development and implementation of approaches that interface with living systems through novel materials and algorithms, electric and magnetic fields, ultrasound, optics and targeted radiation, microfluidics
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that seeks to understand biocultural, ecological and evolutionary dimensions of life. We study biomolecules retrieved from extant, forensic, historical, archaeological, and environmental materials, with
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at least one component substantively uses and/or develops artificial intelligence tools, including but not limited to machine learning, deep learning, neural networks, computer vision, or genetic algorithms
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Job description You will dedicate at least 90% of your time to scientific research as part of the preparation of a doctoral dissertation. Develop next-generation evolutionary computational
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. Our research spans the fields of computational biology, biochemistry, genomics, evolutionary biology, and agricultural science, and we have a solid track record of publications in well-regarded journals