Sort by
Refine Your Search
-
science. The section comprises three PIs and approximately 25 PhD students and postdocs. Qualifications Good communication skills in English, both written and spoken. Be able to work independently and take
-
. The aim of the project is to bring about a paradigm shift in the design of switchable materials, by delving into the uncharted territory of f -element valence change (VC). The VC materials will be
-
are required and will be given. You will have an exciting opportunity to work on the future paradigm for the construction of multistorey buildings in which a comprehensive system-of-systems approach intertwines
-
Job Description Join our interdisciplinary team developing state-of-the-art 3D X-ray microscopy for life science applications. ‘Seeing is believing’, therefore at the DTU 3D imaging center we
-
facilities and state-of-the-art equipment for material preparation, characterization, indoor air quality assessment, and prototype development. Responsibilities and qualifications You are enthusiastic and self
-
, cross-disciplinary, and international research environment at DTU Aqua in Lyngby. We currently have a group of about 20 early-career scientists (PhD and Postdocs) working on various aspects of marine life
-
other PhD students and postdocs in the research section. The work takes place at DTU Engineering at the Lyngby campus in the Section for Protein Chemistry and Enzyme Technology (https
-
conversion, healthcare, and coating technologies. Responsibilities and qualifications The PhD project will be conducted in close collaboration with a postdoc who will be responsible for synthesizing monomers
-
for the globally expanding healthcare sector with its demands for the most advanced technological solutions. DTU Health Tech’s expertise can be described through five overall research areas: Diagnostic Imaging
-
. Programming skills in Python, with experience in deep learning frameworks such as TensorFlow or PyTorch. Experience with computer vision techniques, image processing, and neural networks. Familiarity with