Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Field
-
, the assembled heterostructures will be characterized by optical methods at the C2N laboratory using Raman spectroscopy, polarized Raman spectroscopy, photoluminescence, and second harmonic generation
-
and PhD students with expertise in nanomaterials, spectroscopy, STEM, and theoretical modelling. Characterization of quantum materials with AFM, XPS, XRD, Raman, PL STEM-HAADF and nanofabrication
-
skills in electrochemistry and surface science, ideally with initial experience in corrosion; • Possess in-depth knowledge of vibrational (Raman, infrared) and electronic (XPS) spectroscopies; • Show
-
. We aim to combine Raman spectroscopy, a powerful label-free analytical technique that measures the molecular composition of tissue by using light to excite molecular vibrations, with imaging techniques
-
(Essential) Hands‑on experience of infrared spectroscopy and Raman microscopy applied to heterogeneous catalysis and/or electrocatalysis Experience in at least two of: electrochemical analysis; photocatalysis
-
, Raman spectroscopy, ultraviolet-visible spectroscopy – UV-Vis), as well as optical, electrical, and photoluminescence measurements, including Physical Properties Measurement System (PPMS). Activities also
-
infrared (OPTIR) and Raman spectroscopy. The scholarship is two years full-time with access 15 April, 2026 or by agreement. The deadline for applications is 20 February 2026. The scholarship is placed within
-
techniques (FTIR, NIR, Raman, …) with machine learning/ chemometrics. Responsibilities of the Position The Postdoctoral researcher is intended to support the soil spectroscopy research activities and digital
-
project concerning characterization of microbial systems using optical photothermal infrared (OPTIR) and Raman spectroscopy. The scholarship is two years full time with access 15 April, 2026 or by agreement
-
infrastructures organized in infrastructure platforms, of which the Vibrational Spectroscopy Core Facility (ViSp) is a central infrastructure for this project (https://www.umu.se/en/research/infrastructure/visp