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data integration and analysis Integrate phylogenomic and functional data using machine-learning approaches for candidate gene prioritisation Contribute to software and web-tool development Present
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Join a research environment where Artificial Intelligence and Machine Learning moves beyond theory into clinical impacts. At the Faculty of Engineering and Science, this postdoctoral position offers
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years. Your work tasks As Associate Professor, you will strengthen our research, education, and innovation around advanced topics in battery technology and applications of battery energy storage in
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machines Conduct simulations and experimental testing to validate system performance Document and disseminate research results through scientific publications and presentations The PhD candidate will work
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such as Google Earth Engine statistical modelling, machine learning, cloud/high-performance computing retrieving ecologically relevant environmental data from national to global databases research and/or
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within this field. Your work tasks In this position you will conduct research within Computer Vision and Deep Learning, with a particular focus on the development of an AI-powered framework
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., non-invasive brain stimulation) for symptom reduction. Large-scale data analysis (e.g. machine-learning) may be involved. Training will be provided in all methodologies but prior experience with some
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Researcher level should hold a PhD in AI enabled learning, educational technology, information systems, computer supported learning, social entrepreneurship, innovation management, or a closely related field
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DTU Tenure Track Assistant Professor in Surface Physics and Catalysis for Sustainable Energy Solu...
, robotics, digital twins, and machine learning, CAPeX is redefining how new P2X materials are discovered and developed. Commitment to Diversity We value diversity and encourage applications from individuals
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, and machine-learned force fields to describe ion transport and interfacial evolution. These models will be extended to mesoscopic and continuum scales (kinetic Monte Carlo, phase-field) to capture