10 post-doc-image-processing PhD positions at Norwegian University of Life Sciences (NMBU)
Sort by
Refine Your Search
-
results. You will join the Section for renewable energy and forest sciences and conduct cutting‑edge research using remotely sensed point‑cloud and image data to map forests. The position is part of two
-
methods in forestry generate vast quantities of data and demand more accurate information. Machine learning allows for the systematization and processing of this data into new forms of information
-
, and/or EPR/UV–Vis for probing active sites and intermediates. Computational chemistry (nice to have): Familiarity with MD and/or QM/MM, or motivation to learn these tools to inform design and mechanism
-
computer vision models for forest-based 3D point cloud data. In recent years, large advances have been made for deep learning algorithms for high-resolution point clouds from small geographic areas. We seek
-
sampling in pig herds and slaughterhouses, and statistical analyses of prevalence and shedding data. This is a recruitment position of a temporary nature, intended as an educational post that leads to a
-
detailed data about forest ecosystems. To convert the captured data into meaningful information about the forest environment we seek a PhD candidate who wishes to advance state-of-the-art computer vision
-
well as processing and analysis of biological samples in the laboratory. We primarily seek a candidate with a master’s degree in biology (animal science, molecular biology, physiology, ecology, biochemistry). The PhD
-
herds and slaughterhouses, and statistical analyses of prevalence and shedding data. This is a recruitment position of a temporary nature, intended as an educational post that leads to a doctoral degree
-
-Arvid Grytnes, E-mail: john-arvid.grytnes@nmbu.no ; phone +47 4116 0708 Information for PhD applicants and Information to applicants Application To apply online for this vacancy, please click
-
, Associate Professor. E-mail: erik.trond.aschehoug@nmbu.no Information for PhD applicants and Information to applicants via Unsplash Application To apply online for this vacancy, please click on the 'Apply