Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
-
Field
-
papers. Requirements: Education: PhD in Physics or related degree Knowledge: Complex oxides (Ferroelectrics, antiferroelectric, nickelates, etc), nanomechanics, photovoltaics, scanning force microscopy
-
: · Education: PhD in Materials Science or similar. Knowledge in tech transfer will be highly valuable. · Knowledge: Advanced materials development Polymeric materials development, functionalization
-
, education, research, and preventive care. The hospital boasts a comprehensive range of disciplines and was among the first in China to offer a five-year undergraduate program in stomatology. It currently
-
: · Education: PhD in Materials Science or similar. Knowledge in tech transfer will be highly valuable. · Knowledge: Advanced materials development Polymeric materials development, functionalization
-
optical sensors, including in-sensor computing technologies. An expansion towards related thermal technologies, such as thermoelectrics or calorics, is also possible and encouraged. The ideal candidate will
-
to) SIESTA (www.siesta-project.org) and its TranSIESTA functionality. SIESTA is a multi-purpose first-principles method and program, based on Density Functional Theory, which can be used to describe the atomic
-
of energy technologies Implanted Devices Applicants must have a PhD degree in relevant fields. Senior academics should have proven teaching commitment and performance, experience and readiness in cross
-
discovery, and the development of novel diagnostic and therapeutic devices. With the goal of “AI for Science,” we are recruiting highly motivated PhD-level researchers with backgrounds in computer
-
computers and, as a result, many of them remain poorly understood. UItracold atoms trapped in optical lattices provide a pristine realization of the Hubbard model and hold the promise of solving many of its
-
. Data Analysis and Interpretation: Collect and analyze experimental data, interpret results, and draw meaningful conclusions. Utilize statistical toolsand computational modeling techniques to enhance data