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the greatest mitigation potential in terms of space and time. Support the training of young researchers in using biogeochemical and machine learning (ML) models. Coordinate and contribute to international, peer
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research is a must. Postdoc 3 (text-as-data methods) will primarily be attached to the CULTS project but may also assist with conducting one or two studies related to the Communicating Dictators project
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learning, will be considered as a significant advantage. As a person you are highly motivated, inclusive, independent yet willing to collaborate with other team members and eager to develop a novel research
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artistic research. The postdoctoral role is associated with the research project ‘Reparative Encounters: Repairing Danish Colonial Legacies through Arts-Based Collaboration’, funded by the Carlsberg
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policymakers from around the world to better determine which SRM and GGR pathways have the most political legitimacy and feasibility. Assist with surveys to determine public attitudes. We anticipate a new survey
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capable of assisting younger students in their research projects. Desirable qualifications: Experience with biomolecular prediction, design, and simulation software. Experience with object-oriented
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communication skills. Have good command of the English language, both spoken and written. Be independent and capable of assisting younger students in their research projects. Desirable qualifications: Experience
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across research fields including quantitative genetics, machine learning, bioinformatics, and population genetics Excellent opportunities for publishing in peer-reviewed journals Place of work Aarhus
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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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. The project includes collaboration with leading international experts in proteomics and dermatology and provides access to modern research facilities. The principal investigator is Assistant Professor Xiang