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tools or functional genomic information or OMICS to improve genomic prediction models. The persons hired will collaborate with industry partners, teach at undergraduate and graduate levels, and supervise
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staff office (ISO) https://www.sdu.dk/en/om-sdu/job-sdu/international-staff For the right candidate, there will be possibilities to influence the project and develop new project ideas within the project
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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
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protocol on certain terms of employment of academic staff at universities (only in Danish). Where to apply Website https://aau.varbi.com/en/what:job/jobID:899091/type:job/where:39/apply:1 Requirements
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on housing, registration and access to university services and social networks. You can learn more about AAU Energy at www.energy.aau.dk . Qualification requirements Appointment as postdoc requires academic
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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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Postdoc position in method development in human statistical genetics, with a focus on classificat...
education in quantitative genetics and quantitative genomics (http://www.qgg.au.dk/en). QGG is an international organization with 70 employees and visiting researchers from more than 20 countries. We perform
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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
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deliverables with high standards of accuracy and clarity. Teach and supervise BSc and MSc student projects, and be co-supervisor for PhD students We are looking for candidates with: Skills in molecular biology
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following thematic areas: • AREA 1: Machine learning and AI-driven methods for design, simulation, and optimisation in architectural and construction engineering. • AREA 2: Robotic and additive