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GWAS software (e.g., GEMMA, EMMAX, GAPIT, FarmCPU, BLINK). Ability to run mixed linear models, handle covariates, correct for population structure/kinship, and perform quality filtering of SNP data
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June 1, 2026, or soon thereafter. The position is within the research section Management and Modelling. The research section Management and Modelling develops methods and tools for herd management
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. You can read more about the Department of Management at: http://mgmt.au.dk . Further information For further information about the position and the department, please contact the Director of the Center
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controlled and field conditions. Candidate profile We seek a highly motivated team member with a genuine interest in insect science, machine learning, plant breeding, as well as the ability to manage their own
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management. The position is to be filled by 1 June 2026 or as soon as possible thereafter. The position is available from 1 June 2026 and is a 2-year (24-month) appointment. Description of the position
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focus on how the candidate can make use of the postdoctoral position to develop their career. In addition to the outlined research tasks, the position implies modest teaching obligations equivalent to one
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at the department as well as international partners. Further, it is expected that you can collaborate broadly with stakeholders in the design of scenarios and for management purposes. Your profile Applicants should
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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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further information about the position, please contact Professor Rubina Raja (rubina.raja@cas.au.dk ). Applicants are encouraged to make contact with the project director before applying. For more
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engaged in applied research and advisory work for authorities covering the major biological subdisciplines. We conduct research in the areas of conservation biology and wildlife management, aquatic biology