Sort by
Refine Your Search
-
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
-
of proficiency in Norwegian, Swedish, or Danish at a minimum of level A2 (if available) Contact information to 2-3 references Documentation of teaching experience and qualifications, if applicable A list of your
-
multiwavelet methods in our code (MRChem), and in particular in connection with recent developments for real-time simulations and correlated methods. This development will then be connected to the computation
-
how you will strengthen the research activity in the research team CV, with complete overview of education, supervised professional training, professional experience, and list of scientific publications
-
the State salary scale code 1017. A compulsory contribution of 2 % to the Norwegian Public Service Pension Fund will be deducted. You will become a member of the Norwegian Public Service Pension Fund, which