Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- University of Oslo
- NTNU - Norwegian University of Science and Technology
- UiT The Arctic University of Norway
- University of Bergen
- Integreat -Norwegian Centre for Knowledge-driven Machine Learning
- NTNU Norwegian University of Science and Technology
- NORCE Norwegian Research Centre
- University of Stavanger
- Østfold University College
-
Field
-
calibration or for accelerated algorithms), (b) identifying and investigating aberrant response behavior (such as rapid guessing, cheating, or careless responding), (c) estimation methods for latent variable
-
with algorithms for wearable data University of Manchester (UK): To learn mathematical modelling of hormone rhythms. University of Bristol (UK): To learn mathematical modelling of hormone rhythm
-
, neural networks, prompt engineering, human-machine interaction, algorithms, training data, bias etc.) and express willingness to increase their knowledge and technical proficiency through individual
-
-machine interaction, algorithms, training data, bias etc.) and express willingness to increase their knowledge and technical proficiency through individual studies and relevant coursework. Fluency in
-
of Computer Science We are the leading academic IT environment in Norway, and offer a wide range of theoretical and applied IT programmes of study at all levels. Our subject areas include hardware, algorithms, visual
-
perceptual tolerances. The work will comprise designing networking and computing architectures that integrate prediction and control algorithms, optimizing data transformations, offloading and distributed
-
of Computer Science We are the leading academic IT environment in Norway, and offer a wide range of theoretical and applied IT programmes of study at all levels. Our subject areas include hardware, algorithms, visual
-
algorithms for parallel/distributed AI/ML Hardware-aware and resource-efficient partitioning for parallel/distributed AI/ML Optimization of process-to-process communication in parallel/distributed AI/ML
-
data simulation, clustering algorithms, benchmarking, model selection and evaluation workflows is an advantage Language requirement: Good oral and written communication skills in English English
-
kind of machine learning algorithm, provides more accurate data than traditional data collection methods, e.g. paper-based surveys. This data is valuable to several stakeholders: i) architects and urban