Sort by
Refine Your Search
-
Listed
-
Employer
-
Field
-
the Laboratory of Nano Particles at Empa and also matriculate in ETH Zürich. The research focuses on developing innovative plasmonic materials. Surface plasmon resonance (SPR) and localized surface
-
% of the cases occur in developing countries, and most of these cases would be preventable with appropriate treatment. We are therefore developing an optically transparent, engineered corneal transplant
-
of these research topics. Your position The successful PhD applicant will develop a PhD research program in the research fields listed above, or a closely related field, in close collaboration with the daily
-
microbiology, as well as bioinformatics and the analysis of big datasets. Moreover, the Biozentrum offers excellent internal support from various core facilities with expert staff, and a structured PhD program
-
, characterization and optimization of molecules with drug-like properties, and the development of novel therapeutic concepts. The group follows a highly integrated and multidisciplinary approach, including drug
-
with our team of experienced scientists, postdocs and PhD students, you will develop materials that contribute to the development of the next generation of sustainable biocomposite materials. This project is
-
healing. Developing innovative implants that can better integrate with the body, reduce complications, and improve patient outcomes is essential in addressing this urgent healthcare challenge. Though rooted
-
University of Bern, Albert Einstein Center for fundamental Physics Position ID: University of Bern -Albert Einstein Center for fundamental Physics -PHD25 [#29878] Position Title: Position Location
-
Doctoral School candidates must submit their application file to the doctoral program of their choice within the deadlines specified by the latter. Some programs publish open positions related
-
Your position Our group conducts research at the intersection of artificial intelligence (AI) and pediatric healthcare, developing AI and machine learning (ML) methods to address real-world clinical