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for research A relevant background in microbiology, molecular biology, animal physiology, or a related field Experience in chemical, microbiological, and/or molecular laboratory work Experience in experimental
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, Biomedicine, or Computational Systems Biology. Experience with NGS data or single cell-sequencing analysis is required. Competence in adipose tissue biology, cell culture work or mouse physiology would be
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of the research group. Desired qualifications and skills: A relevant background in aquatic biology, animal physiology or a related field. Good skills for laboratory-based analytical tools. Practical experience
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Job Description Are you passionate about metabolic engineering of bacteria? Do you want to contribute to solving urgent problems with synthetic biology? The Systems Environmental Microbiology (SEM
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degrees in either the natural sciences (chemistry, physics, mathematical/computational biology) or in the formal sciences (statistics, computer science, mathematics), but must have a serious interest in
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PhD Position in Hydrogen/Deuterium Exchange Mass Spectrometry to Study the Regulation of Lipoprot...
such an environment. The Jørgensen group at the Protein Research Group /Section for Biomedical Mass Spectrometry at the Department of Biochemistry and Molecular Biology (BMB) at the University of Southern Denmark
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Sustain and DTU FOOD), as well as two Departments at NTNU (Chemistry and Biology) will supervise and integrate the PhD fellow into several research communities. There will be an enhanced focus
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group and are expected to contribute to other departmental tasks. We expect that you have a background in biology or veterinary medicine and have an interest in interactions between diet, intestinal
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programme, please see DTU's rules for the PhD education . Assessment The ideal candidate will have solid background in experimental molecular biology combined with experience with microbial protein production
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, might be for you! Responsibilities and qualifications Working with colleagues in the MULTIBIOMINE project, you will develop computational methods that use novel strategies to uncover hidden features in