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. The position is fixed term and full-time and includes both research and teaching activities. The PhD scholarship is part of the research project Not Liking School: Lived Experience of School Emotions, funded by
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PhD Scholarship in Development of Cement-Free Living Building Materials for Sustainable Construction
collaborators, providing opportunities to develop a broad scientific network and gain hands-on experience with complementary expertise and facilities. Responsibilities and qualifications As a PhD candidate, you
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education corresponding to approx. 30 ECTS points Participate in active research environments including a stay at another research team Obtain experience with teaching or other types of dissemination related
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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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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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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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. 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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-driven modelling. Experience with numerical modelling, simulation, optimization, control, or engineering-data analysis. Good programming skills in Python, MATLAB/Simulink, or a comparable scientific
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learning, computing, data science, biomedical engineering, or a related field at the level of a master degree Programming skills (Python) and experience with common machine learning platforms Experience with