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Description/content Candidates will prepare a doctoral thesis in the field of neuroscience (project duration: four years). Research topics are olfaction, vision and acting, robotics, learning and memory
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science technologies, and this is a perfect training opportunity for those who is interested in machine learning, data mining, artificial intelligence, and bioinformatics. High-performance computing may
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Structured doctoral training is generally provided by the GGL graduate centre or graduate schools. The objective is for doctoral students to acquire and deepen their knowledge, broaden their scientific
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existing experience. This position is part of the CDT in Net Zero Aviation, which offers a modular, cohort-based training programme with emphasis on innovation and impact, collaborative working and learning
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and population genetic research Deep understanding of Evolutionary Biology Experience or interest in learning lab work (e.g. DNA extractions and library preparations) Research experience with genomic
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techniques) at UGent combined with machine learning, deep learning and data fusion modelling to enable development of novel decision support systems for variable rate fertilization and manure application. He
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between chemical and mechanical aspects of sperm cell biology remain largely unknown. In this project a successful candidate will learn, elasticity characterisation techniques, processing and evaluation
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and near infrared, mid infrared and advanced machine learning and artificial intelligent modelling to enable accurate monitoring of nitrogen mineralization rate to enable understanding and improving
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training programme with emphasis on innovation and impact, collaborative working and learning, continuous development, active engagement with partners and stakeholders and inclusion of student-led activities
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of the programme include the following: To gather experience in independent planning, management, implementation, and evaluation of epidemiological and public health research projects To acquire comprehensive