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Field
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Development Programme targeted at career development for postdocs at AU. You can read more about it here . At the Faculty of Natural Science at Aarhus University, we strive to support our scientific staff in
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that transform dynamic environmental processes, such as sedimentation, meltwater flow, and vegetation change, into active drivers of adaptive design. This interdisciplinary work combines advanced computational
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, fluorescent in situ hybridisation (FISH), in vivo non-canonical amino acid tagging (NCAT), confocal and super-resolution imaging, molecular biology, biochemistry, and next-generation sequencing. In addition
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, such as bioinformatics, biochemistry, molecular biology, biotechnology, or a related discipline. You must have: Expertise in either computational protein design or wet lab techniques for protein
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, preferably lightsheet, confocal, dissecting. Ability to work both in a team environment and independently. Excellent organizational and record-keeping skills. Computer skills in both Mac and PC environments
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learning technology/AI as a tool to analyze these images and come up with an algorithm to be utilized for early detection of AD/PD when the patient has no visible sign and symptoms. This project is team
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the First Team programme of the Foundation for Polish Science co-financed by the European Union under the European Funds for Smart Economy 2021-2027 (FENG). The aim of the project is to establish conditions
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to the development of new research directions aligned with program goals. Position Requirements Recent or soon-to-be-completed PhD (typically completed within the last 0-5 years) in Chemical Engineering, Materials
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Employment 1.0 FTE Gross monthly salary € 3,546 - € 5,538 Required background PhD Organizational unit Faculty of Science Application deadline 12 October 2025 Apply now Are you a scientist with a PhD
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Computer Engineering at the University of Sydney is seeking to appoint a Research Associate or Postdoctoral Research Associate to contribute to an exciting project focused on the challenge of accelerating