12 machine-learning-"https:"-"https:"-"https:"-"Computer-Vision-Center" PhD positions at Utrecht University
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; profile root and leaf microbiomes using amplicon sequencing; analyse integrated microbiome and phenotyping datasets; contribute to machine-learning models predicting pathogen invasion success and plant
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The Copernicus Institute of Sustainable Development at Utrecht University invites applications for a PhD position on the role of art-science-action integration and challenge-based learning towards
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, physiology and disease development; profile root and leaf microbiomes using amplicon sequencing; analyse integrated microbiome and phenotyping datasets; contribute to machine-learning models predicting
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and challenge-based learning towards transformative sustainability education. Your job The PhD candidate will investigate how higher education can prepare students to have meaningful contributions in
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to this. The gathered data will provide new insight in the exact timing and variability in past landscape changes. Your results will furthermore contribute to computer simulations of coastal dynamics in a parallel PhD
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to this. The gathered data will provide new insight in the exact timing and variability in past landscape changes. Your results will furthermore contribute to computer simulations of coastal dynamics in a parallel PhD
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down submarine canyons; incorporate these mechanisms into an existing computer model for sediment flux through submarine canyons; and validate the model on monitored submarine canyons. The responsibility
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room to learn and develop professionally at the frontier of academic research. You will work under the supervision of Dr Burcu Özgün , Dr Giovanna Capponi , and Professor Carolina Castaldi .
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down submarine canyons; incorporate these mechanisms into an existing computer model for sediment flux through submarine canyons; and validate the model on monitored submarine canyons. The responsibility
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or another relevant field; the ability and enthusiasm to learn and apply quantitative and qualitative methods within HTA; an interest in cross-disciplinary work within HTA; good oral and written communication