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related field at the level of a master degree Programming skills (Python) and experience with common machine learning platforms Experience with deep learning, computer vision, medical image analysis
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deep learning, computer vision, medical image analysis or unsupervised learning is an advantage. English language skills, both written and spoken Qualification requirements PhD stipends are allocated
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other relevant stakeholders. The PhD student will contribute to the prototype development, feasibility test and evaluation of innovative cross-sectoral pathways and will be involved in data collection
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to contact us. You will find contact persons at the bottom of the jobpost. Further information Read more about our recruitment process here. The assessment of candidates for the position will be carried out by
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PhD Scholarship in University Students’ Learning Via Digital Twins of Neutron Scattering Instruments
. The digital twins will allow students to perform virtual experiments. ACCESS will make digital twins for ESS instruments on imaging (ODIN), inelastic scattering (BIFROST), small-angle scattering (LOKI) and
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of novel methods to decompose the heterogeneity of psychiatric disorders, particularly ADHD, using large-scale genetic, imaging, and epidemiological data from Denmark and other countries. You will apply
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, the van Andel Research Institute, Michigan, USA and the Nordic MDS study group. Our location at the Copenhagen Biocentre/BRIC provides optimal conditions for interaction with the basic scientists at BRIC
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capabilities. Particular emphasis will be placed on high-speed USV operation in realistic marine conditions, where propulsion, control and sensing are strongly coupled. PhD Focus Area: Propulsion, Control and
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research has focused on optimizing materials chemistry to improve performance. Despite these advances, the fundamental processes governing electrochemical interfaces, particularly their degradation and
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applications. In this role, you will work at the interface between power electronics, electronic packaging, and materials integration. You will investigate through-glass via formation, metallization processes