211 machine-learning-"https:" "https:" "https:" "https:" "https:" "https:" "U.S" Fellowship positions at University of Oslo in Norway
Sort by
Refine Your Search
-
Listed
-
Category
-
Field
-
to teach in a Scandinavian language Candidates without a master’s degree have until June 30, 2026 to complete the final exam. Desired qualifications: A master's thesis and/or other research experience in
-
Language requirement: Good oral and written communication skills in English English requirements for applicants from outside of EU/ EEA countries and exemptions from the requirements: https://www.mn.uio.no
-
texts. Language requirement: Good oral and written communication skills in English English requirements for applicants from outside of EU/ EEA countries and exemptions from the requirements: https
-
from the requirements: https://www.mn.uio.no/english/research/phd/regulations/regulations.html#toc8 Grade requirements: The norm is as follows: The average grade point for courses included in
-
-edge research in these areas. You will learn state-of-the-art techniques in formal methods and knowledge representation and apply them to high-impact use cases related to industry. Potential candidates
-
for applicants from outside of EU/ EEA countries and exemptions from the requirements: https://www.mn.uio.no/english/research/phd/regulations/regulations.html#toc8 Grade requirements: The norm is as follows
-
, and public health. Read more about UIO:RWE here: https://www.uio.no/english/research/strategic-research-areas/life-science/research/convergence-environments/uiorwe About the project This postdoctoral
-
: https://www.mn.uio.no/english/research/phd/regulations/regulations.html#toc8 Grade requirements: The norm is as follows: The average grade point for courses included in the Bachelor’s degree must be C
-
written communication skills in English English requirements for applicants from outside of EU/ EEA countries and exemptions from the requirements: https://www.mn.uio.no/english/research/phd/regulations
-
. Demonstrated experience applying machine learning and AI-based approaches to empirical disease, ecological, or biological datasets, with an emphasis on pattern identification, prediction, or spatial risk mapping