Sort by
Refine Your Search
-
. The successful candidate will be joining the Ultracold Quantum Gases group led by Prof. Dr.Leticia Tarruell . The Fermi-Hubbard model is a cornerstone model of condensed matter physics. It describes the physics
-
level background in physics, chemistry, nanoscience or engineering Knowledge and Professional Experience: Background in condensed matter, physics, chemistry and materials science at the nanoscale
-
feedback to experiments (when required) - Write scientific manuscript for publication. Requirements: Education: PhD in Physics, Materials Science, Chemistry, Computer Science, or related disciplines
-
electronic engineering, physics, chemistry, materials science, nanotechnology, or closely related discipline. Good publication record. Experience in thin film or/and solar cell fabrication by solution
-
areas of nanoscience and nanotechnology. Job Title: Postdoctoral Researcher Research area or group: Physics and Engineering of Nanodevices Group Description of Group/Project: The Physics and Engineering
-
focus on the newly-discovered physical and chemical properties that arise from the behaviour of matter at the nanoscale. ICN2 has been awarded with the Severo Ochoa Center of Excellence distinction
-
. in Nanoscience, Chemistry, Materials Science, or a related field. Background in a complementary discipline (e.g., Physics, Biomedicine) is highly desirable. Professional Experience: - Extensive
-
presentations in workshops or conferences to showcase your research results to the scientific community. · Skills on proposal writing Requirements: Education: PhD degree in electronic engineering, physics
-
analysing deep shotgun metagenomic data in large cohorts, detecting horizontal transmission). We are mostly computational, but have a small lab component and work in close collaboration with the CRG core
-
, the Spanish Ministry of Science and Innovation, Generalitat de Catalunya, an AXA chair, European Foundation for the Study of Diabetes, the Marie Skłodowska-Curie Actions program, and a CIBERDEM diabetes network