46 evolution-"https:"-"https:"-"https:"-"https:"-"https:"-"Here-We-Are" positions at Aarhus University
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their research agenda and approach to this topic in accordance with their broader research interests, expertise, and career development. The various tasks of the position are organized in continuous agreement with
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will contribute to the development of the department through research of high international quality. In your daily work, you will work closely with both Danish and international colleagues. The position
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characterization of the developed biosensor in cell-based systems. Core methods will be mutagenesis, protein evolution and cell-based assays and as well as fluorescence lifetime microscopy. The majority
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stream from the green biorefinery demoplant at AU Viborg. The project will focus on pulping of the press cake and development of textile filaments from the refined cellulose-fraction. Expected start date
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The Department of Business Development and Technology ( BTECH ) at Aarhus BSS, Aarhus University invites applications for one or more professorships in marketing, digitalization and organization. A
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strategy. You will contribute to the development of the department both individually and in collaboration with others via your research of high international quality. You ensure that your teaching maintains
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will be dedicated to IT infrastructure development, with the remaining 50% focused on image analysis and related support. You will play a key role in improving how microscopy data are handled by
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). You will contribute to the development of the department through research of high international quality. In your daily work, you will work closely with colleagues on your project, where you will receive
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groups and QGG Mentorship and support in developing independent research directions Support for grant writing and professional development a workplace characterised by professionalism, equality and a
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engineering, geoinformatics, computer science, or a related field with a focus on deep learning applied to remote sensing or geospatial data Documented experience with deep learning model development (e.g