20 network-coding-"Chung-Ang-University"-"Chung-Ang-University" Fellowship positions at UiT The Arctic University of Norway
Sort by
Refine Your Search
-
experience coding within Unix-based HPC environments, and a background in MATLAB and Python programming languages would suit working with our existing code base Emphasis is also given to personal suitability
-
expertise in both practical and theoretical philosophy, and active research networks in ethics, political philosophy, environmental philosophy, and feminist philosophy. These interests come together in our
-
both practical and theoretical philosophy, and active research networks in ethics, political philosophy, environmental philosophy, and feminist philosophy. These interests come together in our research
-
. The PhD fellow will be part of the research group Indigenous Religion(s): Local Grounds, Global Networks (INREL). The fellow will contribute to a broader research initiative on religion, art, activism, and
-
for applicants with: a strong interest and expertise in computer science research with a focus on machine learning methods for the health domain strong coding skills familiarity with state-of-the-art machine
-
methods for the health domain, strong coding skills familiarity with state-of-the-art machine learning frameworks experience in natural language processing, sound-based machine learning, development and
-
guidelines at UiT. At our website, you will find more information for applicants . Remuneration for the position of PhD Fellow is in accordance with the State salary scale code 1017. A compulsory contribution
-
information for applicants . Remuneration for the position of PhD Fellow is in accordance with the State salary scale code 1017. A compulsory contribution of 2 % to the Norwegian Public Service Pension Fund
-
information for applicants . Remuneration for the position of PhD Fellow is in accordance with the State salary scale code 1017. A compulsory contribution of 2 % to the Norwegian Public Service Pension Fund
-
interest and expertise in computer science research with a focus on machine learning methods for the health domain strong coding skills and familiarity with state-of-the-art machine learning frameworks We