Sort by
Refine Your Search
-
Program
-
Field
-
, and internalization studies. Plan, perform, and analyze preclinical biodistribution, PET, and SPECT imaging studies in mouse models. Investigate pharmacokinetic and pharmacodynamic properties of novel
-
Frequency Lattices and RF-Controlled Comb Dynamics Our group investigates new ways of controlling and confining electromagnetic waves through time as an active design dimension. Rather than engineering wave
-
, Switzerland engineers and applies advanced polymeric materials and medical devices for a range of biomedical and industrial uses. The recent focus of the group includes the development of: (i) rational design
-
continuously monitors acoustic emissions from carriers, automatically adjusts ultrasound exposure in real time, and preserves blood–brain barrier integrity. By integrating therapeutic carrier design, robotics
-
-invasive targeted drug delivery to the brain. Our laboratory recently developed a novel focused ultrasound-mediated targeted drug delivery platform, published in Nature Communications (https://www.nature.com
-
from the PI and senior members of the group along with support in developing your skills in experimental design, data interpretation, scientific writing, and academic framework development. You will
-
the discovery and design of structural alloys through defect engineering, with a particular focus on materials for extreme environments, including fusion energy and space applications. Our research combines
-
-market effects of tax competition, the design and political economy of international tax rules, and the macroeconomic and distributional consequences of international taxation. Project background Research
-
measurements – requires significant innovation. These challenges demand close collaboration across physics, biology, chemistry and the earth sciences. NCCR Genesis does not aim to provide answers in all fields
-
directions include: Using AI to learn parameters and design circuits for quantum optimization algorithms (e.g., beyond QUBO formulations for QAOA) Developing AI-driven methods to discover quantum optimization