Sort by
Refine Your Search
-
Category
-
Country
-
Field
-
to the academic development of the Programming area within the Programme and participate in high-quality research activities in areas related to theoretical computer science, algorithms, data structures
-
computational work involves protein structure prediction Publications in high impact factor journals Knowledge and experience in AMR, Artificial Intelligence in health and food systems Good laboratory skills
-
to identify global patterns of fungal species distribution. Within the project, the person will be involved in the study of the structure of soil fungal communities using our in-house global databases of fungal
-
part of a dynamic research team, joining the REACT-Lab (Renewable Energy and Advanced Construction Technologies Laboratory) and the URGENT (USN Research Group in Energy and Environmental Technology
-
and Experience Strong statistical analysis and data handling skills Understanding of data structures, data modelling and data management Ability to write robust, reproducible code in Python or R
-
with potential extension to more complex structures and environments. The ideal candidate will have experience with some of the methods listed below (see Group overview), ultrahigh vacuum (UHV), and a
-
functionalisation, nanophotonics, nanofabrication, nanoscale photovoltaic devices, and in the characterisation of optical, structural, electrical and chemical properties of materials. The hosting environment is
-
, nanoscale photovoltaic devices, and in the characterisation of optical, structural, electrical and chemical properties of materials. The hosting environment is equipped with state-of-the art facilities in
-
: Evolution of fluid transport properties and element (Li, Sb) mobilisation in hot and supercritical systems. Doctoral Candidate (DC) Number: 06 Work Package Number: 3 Research Field(s) (EURAXESS classification