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If you have any questions about the position, please contact Prof. Ole Schmeltz Søgaard, e-mail: [email protected]. Your place of work will be the Department of Infectious Diseases, Palle
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-programme/ Terms of employment Salary and terms of employment are governed by the Cirkulære om overenskomst for akademikere i staten (in Danish). You will be employed as Post doc at base pay level 4–8 with
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of collaborators in ecology, envi-ronmental genomics, pollinator biology and biodiversity monitoring. Key Responsibilities The post doc will: Design and coordinate large-scale field studies across multiple seasons
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data or large data volumes in all information systems. We contribute methods and algorithms for machine learning, and data mining, including XAI, as well as for data access and query processing. Aarhus
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to research methods and quantitative methodology. Further information Potential applicants are welcome to contact Professor Tea Trillingsgaard (e-mail [email protected] or +45 26858554) for further information
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will be used. Questions about the position If you have any questions about the position, please contact Professor Ian Mills/Associate Professor Emma Evergren tel.: (+45) 71339747, e-mail: evergren
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statement(s) can be uploaded (optional) References/recommendations can be uploaded separately in the e-recruitment system (optional) We refer to the faculty’s Guidelines for applicants . Aarhus University’s
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in SHAPE subjects Have a genuine interest in engaging with and learning from stakeholders beyond academia, including teachers, policymakers and other professionals involved in education In addition
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and formalize relevant cognitive and behavioural mechanisms in computational models, including, where appropriate, learning, decision-making, belief updating, preference formation, habit formation
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developing new visualisation strategies to aid delineation, as well as developing deep learning methods to enhance photon-counting CT images and better visualise tissue boundaries. The project will also