24 network-coding-"Chung-Ang-University"-"Chung-Ang-University" Postdoctoral positions at Nature Careers in Denmark
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of understanding their regulation by phosphorylation. You will be in charge of writing and testing code, developing, deploying and maintaining software. Your work will benefit from the experimental data generated by
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computational models to map co-expression networks and predict systemic disease transitions. Characterise intestinal microbiome changes and their correlation with inflammatory diseases. Computational modelling
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was established at the Department of Biomedicine at Aarhus University, with the aim to explore the interplay between genetics, epigenetics and non-coding RNAs in the development and progression of cancer. We have a
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large international network. Furthermore, we collaborate extensively with other groups, including both clinical and basic pharmacology researchers as well as environmental medicine specialists
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new coding languages will be preferred. Proficiency with advanced statistical analysis techniques, demonstrated through mastery of one or more of complex modelling techniques (e.g., multilevel models
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a focus on mentoring and individual career development. Training in state-of-the-art technologies and data analysis as well as research management, oral and written communication, and networking
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Post Doctoral Researcher in Human-Centered AI for Software Engineering, Department of Electrical ...
, networking and social activities. a workplace characterised by professionalism, equality and a healthy work-life balance. Place of work and area of employment The place of work is Helsingforsgade 10, 8200
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of publications in high-ranking international peer-reviewed journals Contribute to public dissemination of policy and management relevant knowledge Participate in network building activities both internationally
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aspects of drug use, drug effects, and drug safety. The group is highly regarded within pharmacoepidemiology and has a large international network. Furthermore, we collaborate extensively with other groups
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machine learning methods, including symbolic regression and neural networks. You will apply the algorithms to the discovery of new models in different fields, including robotic control, fluid mechanics and