19 evolutionary-algorithms-"RMIT-UNIVERSITY" Fellowship positions at University of Oslo
Sort by
Refine Your Search
-
on JavaScript in your browser and try again. Ulla Schildt/NHM 10th August 2025 Languages English English English Natural History Museum PhD Research Fellow in Plant Evolutionary Genomics Apply for this job See
-
mathematical modelling tools. Excellent knowledge of programming languages such as R, Python, Julia, etc. Familiarity with AI algorithms and Machine Learning Fluent oral and written communication skills in
-
. Familiarity with AI algorithms and Machine Learning Fluent oral and written communication skills in English Desired qualifications: Experience with research on epidemiological modelling, with an emphasis
-
change, evolutionary events (radiations and extinctions), plate tectonics, and changes in geochemical cycles. The project will have a focus on invertebrate paleontology, with new sampling of sections with
-
covering topics within biochemistry, molecular biology, physiology, cell biology, genetics, aquatic biology, toxicology, ecology, and evolutionary biology. The Department also operates Finse research station
-
information of the data to make a prediction using advanced mathematical tools. This insight opens the door for enjoying the real world. The candidate further develops efficient and robust algorithms
-
develops efficient and robust algorithms for realistic settings in terms of data and computing resources and collaborates to address major challenges in important applications including marine domain and
-
technological progress in our increasingly digital, data-driven world. Researchers in Integreat develop theories, methods, models, and algorithms that integrate general and domain-specific knowledge with data. By
-
. The candidate further develops efficient and robust algorithms for realistic settings in terms of data and computing resources and collaborates to address major challenges in important applications including
-
. This insight opens the door for enjoying the real world. The candidate further develops efficient and robust algorithms for realistic settings in terms of data and computing resources and collaborates to address