Sort by
Refine Your Search
-
national and international partners. The PhD project will focus on integrating advanced photogrammetric techniques applied to historical aerial imagery with modern deep learning-based image classification
-
expertise in the following areas: Machine Learning in general, with an emphasis on deep learning and language modeling Model benchmarking and evaluation pipelines for NLP/LLMs Domain-aware application of AI
-
above. Proficiency in scientific programming (Python) and deep learning frameworks. Fluent oral and written communication skills in English. Desired qualifications: Expertise in broader topics in
-
defence are eligible for appointment. Solid background in machine learning and scientific profile relevant to the project described above. Proficiency in scientific programming (Python) and deep learning
-
entails teaching responsibilities within automation of synthetic chemistry and high-throughput experimentation. We seek candidates who demonstrate a collegial approach to teaching and a deep appreciation
-
The idea is to combine established iterative ensemble Kalman methods with novel emerging machine-learning-enabled model calibration techniques recently adopted in CLM-FATES at UiO. The aim is: to constrain
-
-FATES model using: Snow cover Flux tower data The idea is to combine established iterative ensemble Kalman methods with novel emerging machine-learning-enabled model calibration techniques recently