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are hotspots of microbial activity, including microbial processes that are sources or sinks of greenhouse gases. For example, aerobic methanotrophic and ammonia-oxidizing microbes are frequently found in
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-Laryngology at SDU, which is divided into three sections: Surgically-related ENT, Medical Audiology, and Technical Audiology. The advertised position is available in the Technical Audiology Section . A closely
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the process of cloning, handling of plasmids, and making lentivirus using cells is important. Experience with lipid nanoparticles (LNP) and mRNA will be a plus. Further information For further information
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-reviewed publications Prior experience with animal experimental techniques, especially small animal surgery, neuroimaging, biochemical techniques such as western blotting, PCR, and immunohistochemistry
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processing conditions, and minimizing environmental exposure during final application. The assessments are crucial for validating safer alternatives and sustainable process designs. Qualifications
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references under any circumstances, so please ensure their letters have reached us by the deadline. Shortlisting may be used in the assessment process. Shortlisted applicants will be assessed by an assessment
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Alipour (mial@mmmi.sdu.dk). If you experience technical problems with the online application process, please contact SDU’s HR support at hcm-support@sdu.dk . Application procedure Applicants are advised
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Job Description A position as postdoc (full-time position) is vacant at the Research Unit of Child and Adolescent Psychiatry , Department of Clinical Research , Faculty of Health Sciences , University of Southern Denmark . The position is to be filled from October 1, 2025, or as soon as possible...
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contact hcm-support@sdu.dk. Application procedure Applicants are advised to read the SDU information on how to apply . Assessment of the candidates is based on the application material, and an application
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thermomechanical process simulations such as casting and welding. The research activities at SDU-ME spans widely from fluid mechanics, condition monitoring, machine learning, fatigue, maritime structures