134 development "https:" "https:" "https:" Fellowship positions at University of Oslo in Norway
Sort by
Refine Your Search
-
related to models and multiple sources of data describing ecological dynamics. The PhD project will address the following aims: 1) Develop efficient tools for learning about models from data, 2
-
and fair synthetic data with good utility. We are particularly interested in applicants motivated to develop machine learning methods that matter for society — including fairness, privacy, ethical
-
science). The candidate is expected to contribute toward developing wholistic adaptive management systems. BioM is an interdisciplinary Convergence Environment under UiO:Life Science , involving
-
, neuroscience, and clinical medicine. The Faculty of Medicine offers a career development programme designed for researchers at the beginning of their career. The duration of appointment is 3 years. About the
-
-development Where to apply Website https://www.jobbnorge.no/en/available-jobs/job/294721/phd-research-fellow-in-fi… Requirements Research FieldBiological sciencesEducation LevelMaster Degree or equivalent
-
stellar tidal streams) around disk galaxies. The successful candidate will design, perform and analyse idealized and cosmological hydrodynamical galaxy formation simulations, develop or improve models
-
experience and expertise in web-scale data curation, development of large language models (LLMs), and in-depth LLM evaluation. LTG has a strong commitment to open-source resource and software development
-
developed countries, smartphone penetration exceeds 80%. The automatic transport mode detection (TMD), when effectively exploited, possibly using some kind of machine learning algorithm, provides more
-
cooperation with the Institute of Marine Research. The core of the position will be on development of new deep learning methods for segmentation/classification of data with limited and weak labels. Your may
-
working with machine learning techniques to develop emulators for the theoretical predictions of various observables as function of cosmological parameters. The candidate will develop and use skills in