Sort by
Refine Your Search
-
Category
-
Employer
-
Field
-
economically while supporting a sustainable grid. This PhD project aims to leverage cutting-edge optimization, control and machine learning methods to optimally integrate vertical farms in these emerging
-
close relation with another PhD student in Université de Lille, France. The selected candidate will have the opportunity to learn form a consortium of 8 institutions (10 Beneficiaries, 3 Partner
-
using machine learning or any other AI technique. Knowledge of CCS. Good oral and written presentation skills in Norwegian/Scandinavian language equivalent level B2. Personal characteristics To complete a
-
on ROS2 (Robot Operating System) and best practice of use of Github. Knowledge and skills on methods in numerical optimization, machine learning, as well as knowledge on marine power and control systems
-
we will apply state-of-the-art machine learning and deep learning techniques on open- access and collected datasets to determine how accurately these systems can identify dock plants under Norwegian
-
experiences and skills will be emphasized: Desired knowledge/experiences in: Working with diverse remote sensing data Data science topics particularly machine learning and deep learning. High Performance
-
to your work duties after employment. Required selection criteria You must have a professionally relevant background in algorithms, machine learning, database systems, or data mining, with a research
-
Applied ecology PhD: Large carnivores in Scandinavia from individual movement to population dynamics
3 Feb 2025 Job Information Organisation/Company Norwegian University of Life Sciences (NMBU) Research Field Mathematics » Statistics Researcher Profile First Stage Researcher (R1) Positions PhD
-
machine learning models Experience in X-ray or electron-based materials characterization methods Personal characteristics To complete a doctoral degree (PhD), it is important that you are able to: Willing
-
criteria Prior publications within relevant fields Strong problem-solving skills and a demonstrated capacity for innovative thinking Experience and expertise in machine learning Personal characteristics