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Development Programme targeted at career development for postdocs at AU. You can read more about it here . Deadline 09 January 2026 The application must be submitted via Aarhus University’s recruitment system
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combining experimental and computational approaches to: Characterize the evolution of cis-regulatory networks across primate brain development using novel single-cell omics methods Apply deep learning models
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, computer science and technology, intelligent science and technology, among others. (2) Talent System and Benefits Position Term of Employment (years) Annual Salary (CNY, pre-tax) Researcher 5 500,000-600,000
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diverse academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular
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equality. We offer an exciting, stimulating, diverse research environment and actively promote a family friendly workplace. The Institute is also a member of Stonewall’s Diversity Champions programme. The
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platforms. In addition to mechanistic studies, the lab also specializes in the discovery and development of drugs for the treatment of diabetes and obesity. Our research program is well funded by National
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computational microbiome research. The specific focus of the project will be tailored to the candidate’s interests and will align with the objectives of the aforementioned consortia. These projects work at the
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. Qualifications: PhD in Molecular Biology, Biomedicine, Human Physiology, Computational Systems Biology or similar fields. Proven expertise in LC/MS based metabolomics and/or bioinformatic analyses of complex omics
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Post Doctoral Researcher in Digital Twins CO2-to-Protein production in collaboration between the ...
collaboration between the Department of Electrical and Computer Engineering and the Novo Nordisk Foundation CO2 research center, Aarhus University, we aim to address this opportunity by developing digital twins
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The research aims to develop next-generation magnetic recording technologies that achieve ultra-low power consumption and ultra-high recording density. Specifically, we focus on magnetic thin-film devices utilizing magnetization dynamics induced by spin-transfer torque and spin-orbit torque, as...