9 algorithm-development-"St"-"St" PhD positions at Norwegian University of Life Sciences (NMBU) in Norway
Sort by
Refine Your Search
-
candidate will contribute to: Developing supervised deep learning algorithms for 3D point clouds Developing self-supervised deep learning algorithms for 3Dpoint clouds Expand for a wider variety of downstream
-
contribute to: Developing supervised deep learning algorithms for 3D point clouds Developing self-supervised deep learning algorithms for 3Dpoint clouds Expand for a wider variety of downstream tasks focused
-
on deadwood proportion, decay stages, and forest succession. This position offers hands‑on methodological development, opportunities to publish, and collaboration within a dynamic international research
-
characterize forest structure. Remote sensing data, such as images, lidar, and photogrammetric point clouds acquired from drones, aircraft, and satellites, will play a central role in the development
-
contribute to improved animal welfare, reduced antibiotic use, and a more sustainable pig production. The PhD candidate will play a central role in the project, from laboratory method development to field
-
candidate will be involved in: a) Quantifying gamete quality, fertilization rate and embryonic development in fish exposed to fishing stress vs. non-fishing stress during spawning, by conducting both manual
-
to improved animal welfare, reduced antibiotic use, and a more sustainable pig production. The PhD candidate will play a central role in the project, from laboratory method development to field sampling in pig
-
, develop strong analytical skills, and collaborate with international researchers in macroecology and climate change biology. The candidate will also contribute to a growing field at the intersection
-
protein design to create and refine metalloprotein scaffolds; express and purify variants; integrate experimental feedback to iterate designs. Activity & structure. Develop robust assays, quantify kinetics