104 structural-engineering "https:" "https:" "https:" "https:" "Eindhoven University of Technology (TU" PhD positions at Nature Careers
Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Field
-
Laurentiis Info: clinical.to[at]ssmeridionale.it Cosmology, space science & space technology [SPACE] Coordinator: prof Salvatore Capozziello Info: space[at]ssmeridionale.it Genomic and experimental medicine
-
of the Vienna Center for Quantum Science and Technology (VCQ), one of the largest quantum hubs in Europe, and of the Austrian Cluster of Excellence (quantA), advancing basic research in quantum
-
Learning with Graphs led by Prof. Nils M. Kriege. Our research focuses on the development of new methods and learning algorithms for structured data. Graphs and networks are ubiquitous in various domains
-
About us The University of Luxembourg is an international research university with a distinctly multilingual and interdisciplinary character. The Faculty of Science, Technology and Medicine (FSTM
-
of international scientists will guide and support PhD candidates throughout their projects. Structured mentoring and training including summer schools, industry internships, hard and soft skill workshops and
-
interdisciplinary research in molecular, structural, and cell biology as well as in physiology, biophysics, epi /genetics, (bio)informatics, and multimodal data analysis. In this project, we will elucidate
-
well as early embryonic development – in both health and disease. To this end, we combine interdisciplinary research in molecular, structural, and cell biology as well as in physiology, biophysics, epi /genetics
-
measure gravitational effects on entangled photons for shining light onto the interface of quantum physics and gravity? Can we exploit quantum photonics technology for novel quantum machine learning
-
in the fields of 3D printing, 3D cell culture, and biomechanics Experience in culturing and analyzing cells of the musculoskeletal system Interest in engineering-related topics (measurement and control
-
biology, bioengineering, chemical engineering, or a related discipline Knowledge and experience in the analysis of metagenomics, untargeted metabolomics, or other biological high-throughput datasets