Sort by
Refine Your Search
-
Employer
-
Field
-
(examination certificates/PhD diploma, etc.) Complete list of publications indicating the publications attached Applicants may choose a maximum of three publications for assessment Application and all appendices
-
evaluating organ histology Testing oxygen transport using a hemorrhagic shock rat model Analyzing and communicating your findings through publications and presentations Co-supervising MSc and PhD students
-
evaluating organ histology Testing oxygen transport using a hemorrhagic shock rat model Analyzing and communicating your findings through publications and presentations Co-supervising MSc and PhD students
-
(AUH), where the newly developed therapeutic oligonucleotides will be tested in preclinical models. Applicants must hold a PhD in chemistry and have documented experience in organic synthesis and nucleic
-
the nanoparticles will dissolve and release their nutrients. Field tests under controlled conditions will be conducted in collaboration with the other partners involved in the project. At DTU Energy, you will have
-
collaborative colleague for this position, able to partake the following primary tasks: Coordinate laboratory-scale demonstration activities of remanufacturing, facilitating planning and execution of tests
-
). Curriculum Vitae with applicant's e-mail and phone number Documentation of qualifications (examination certificates/PhD diploma, etc.) Complete list of publications indicating the publications attached
-
microscopy. You will also build and test TZ-derived molecular prosthetics with the aim of restoring the function of faulty genes that causes ciliopathies. The project is supported by a starting grant from Novo
-
cementitious materials using different techniques. Multi-scale characterization of the materials using e.g., SEM, RAMAN imaging, TEM, XRD, rheology, and multiscale mechanical testing. Lab-source and synchrotron
-
extraction) that can be miniaturized and integrated into portable devices. Perform SERS measurements and data analysis of SERS data (e.g., using machine learning). Develop, test and apply new fiber-based SERS