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. The PhD student is expected to develop and apply methods for causal inference will be part of the SMARTbiomed Pioneer centre https://SMARTbiomed.dk/about-SMARTbiomed. Project Description The PhD project
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. Teaching It is a mandatory part of the PhD programme to gain experience in teaching or other forms of knowledge dissemination related to the student’s PhD project. Aalborg University applies a problem-based
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international research conferences and to spend time at another research institution as a visiting PhD student. See the CBS homepage for more information about the PhD programme, https://www.cbs.dk/en/research
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medicinal chemistry. Applicants can have a background in synthetic bioorganic chemistry with a focus on peptides and proteins, preferably also experience with chemo-selective conjugation chemistries
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with experience in zebrafish work, advanced microscopy (in vivo imaging, confocal microscopy), host–pathogen interactions, innate immunity, vaccination, gene expression analysis, or cell-based assays
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(lab and field) experiments, econometric applications to register data or survey data, as well as qualitative research methods. PhD project proposals should be based on coherent theoretical arguments and
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PhD Scholarship in Development of Cement-Free Living Building Materials for Sustainable Construction
broad scientific network and gain hands-on experience with complementary expertise and facilities. Responsibilities and qualifications As a PhD candidate, you will take a leading scientific role in
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). Experience with radar measurements, remote sensing, glaciology, or scientific programming is an advantage but not a requirement. Proficiency in English is required. We value curiosity, initiative, and an
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complex with the new analogues, progressing to time-resolved SSX experiments at MicroMAX. The work will involve close collaboration with coworkers at UCPH and secondments to the University of Gothenburg
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should have hands-on experience with microfabrication, nanofabrication or experimental device work, and be comfortable with systematic laboratory work, data analysis and troubleshooting. The project spans