301 chaotic-time-series Fellowship positions in Norway

PhD Fellow in Machine Learning for graphs and time series data

Description The position A PhD position in machine learning for graphs and time series data is available at the Department of Mathematics and Statistics , Faculty of Science and Technology . The position is

Postdoctoral Research Fellow in Machine Learning for graphs and time series data

at the Department of Mathematics and Statistics , Faculty of Science and Technology  in machine learning for graphs and time series data. The position is a fixed term position for a duration of 2,5 years. Appointment

Postdoctoral Research Fellow in Machine Learning for graphs and time series data

Stig Brøndbo 2nd May 2024 Languages English English English Faculty of Science and Technology Postdoctoral Research Fellow in Machine Learning for graphs and time series data Apply for this job See

1-2 Postdoctoral Research Fellowships in artificial intelligence for future healthcare solutions

Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by an EU programme Is the Job related to staff position within a Research Infrastructure? No Offer

Postdoctoral Fellow in Human Geography (ref 259555)

Apr 2024 - 23:00 (Europe/Oslo) Type of Contract Temporary Job Status Full-time Hours Per Week 37.5 Is the job funded through the EU Research Framework Programme? Not funded by an EU programme Is the Job

Postdoctoral Fellow in Human Geography

Geography . The position is for a period of three years; a four-year contract including 25 % teaching duties may also be negotiated. The position involves developing conceptual and methodological tools

Postdoctoral Research Fellow at the intersection of artificial intelligence and biology

work with existing high-content time-series imaging data to develop new deep learning algorithms with the aim to analyze the spatiotemporal nature of autophagy by image segmentation, detection and

PhD Research Fellow in Analysis of Archaeological Wood and/or Charcoal

charcoal. The PhD candidate will therefore work to develop a method to identify driftwood in the archaeological record, allowing us to better understand its past use. This will involve working with a primary

Postdoctoral Research Fellow at the intersection of artificial intelligence and biology

work with existing high-content time-series imaging data to develop new deep learning algorithms with the aim to analyze the spatiotemporal nature of autophagy by image segmentation, detection and

PhD Fellow in Arctic Microbial Ecology and Eco-physiology

cells and complex microbial communities using microcosms and bioreactor-based temperature incubation time series of arctic and sub-arctic soils/microorganisms. The project is an opportunity for a strong