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learning for imaging tasks Prior work with histology–imaging registration or material decomposition Clinical research exposure As a person, you have good interpersonal skills, are inclusive and team-oriented
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collaborative research, either to assist groups of bachelor’s students in doing homework or co-teach advanced courses relevant for your research area. The Department of Mathematics, the city of Aarhus as
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. Furthermore, to be highly skilled with strong learning abilities and a positive mindset, it is expected that the candidate will lead all aspects of the project. A profound interest in both the methodological
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or similar. Experience in handling dynamic modelling and control, experimental setup and testing, Digital Twin and Machine Learning Publication experience Collaboration and/or management skills Communication
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key agroecosystem variables. These variables include cover crop growth, crop nitrogen, yield, and tillage practices. You will develop novel algorithms to integrate data-driven machine learning and
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/or large genetic datasets. This may include genetic analyses, causal inference, epidemiological analyses, and clinical prediction modelling using machine learning approaches, and development
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written and spoken Willingness to engage in interdisciplinary collaboration and fieldwork Advantageous: Knowledge of bat ecology and species identification Experience with machine learning or automated
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100 university. Aarhus BSS has achieved the triple-crown AACSB, AMBA and EQUIS Further information If you have any questions regarding the position or want to learn more about the project and specific
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polar orbit, passing near the poles about 15 times per day and regularly observing the CIFAR study region. Its payload - two optical cameras, a thermal camera, and onboard machine-learning capabilities
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The Daasbjerg research group at the Department of Chemistry, Aarhus University, is seeking a candidate for a 31-month postdoctoral position. This position focuses on AI/machine learning to develop a