Sort by
Refine Your Search
-
Category
-
Program
-
Field
-
areas: Tsetlin Machine Machine learning Programming in Python, CUDA, and/or C/C++ IoT and Hardware Design Strong academic credentials, written and spoken English proficiency, communication and teamwork
-
according to the State Salary Scale, salary plan 17.515, code 1017 PhD Research Fellow, NOK 532 200 gross salary per year. A compulsory pension contribution to the Norwegian Public Service Pension Fund is
-
the bottlenecks of state-of-the-art lithium-ion battery materials and designs. Ability for scientifically rigorous, target-oriented, organized, and independent work. Good communication and teamwork skills
-
for optimal cell performance across different cell chemistries, designs and alignment. This will be achieved through the development of a high-fidelity physics-based modelling framework using COMSOL and MATLAB
-
is remunerated according to the State Salary Scale, salary plan 17.515, code 1017 PhD Research Fellow, NOK 532 200 gross salary per year. A compulsory pension contribution to the Norwegian Public
-
membership of the Norwegian Public Service Pension Fund More about working at UiA. The position is remunerated according to the State Salary Scale, salary plan 17.515, code 1017 PhD Research Fellow, NOK 532
-
remunerated according to the State Salary Scale, salary plan 17.515, code 1017 PhD Research Fellow, NOK 532 200 gross salary per year. A compulsory pension contribution to the Norwegian Public Service Pension
-
areas: Tsetlin Machine Machine learning Programming in Python, CUDA, and/or C/C++ IoT and Hardware Design Strong academic credentials, written and spoken English proficiency, communication and teamwork
-
commodity trading of battery materials at different stages of transformation (from raw materials to refined products, battery components and battery cells). The plan for the individual research project to be
-
. This will be achieved through the implementation of 10 individual doctoral research projects that have been carefully designed to support the successful achievement of the INDEEP research and training