95 master-"https:"-"https:"-"https:"-"https:"-"UCL" Fellowship positions at University of Oslo
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, is organised as a section at the Department of Geosciences. PHAB’s main goal is to develop predictive models to identify habitable planets around other stars. Within three different research themes: (1
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PhD Research Fellow in Education: Learning, Readning, and Assessment in the Context of Generative AI
of this project is described above. We are seeking a highly motivated individual who wants to excel in a research environment. Part of the main duties and responsibilities include conducting the following tasks
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. The research fellow must take part in the Faculty’s approved PhD program (TIK track) and is expected to complete the project within the set fellowship period. The main purpose of the fellowship is research
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Fleet”. Copies of diplomas with all grades included in the degree and certificates (if the original language of diplomas/certificates is not English or a Scandinavian language, an English
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conditions and tailoring nutritional requirements to individual embryos. The duration of appointment is 3 years. Your main tasks will be Apply advanced low-input liquid chromatography–mass spectrometry (LC–MS
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and private sector partners. The primary objective of MishMash is to create, explore, and reflect on AI for, through, and in creative practices. MishMash researchers will investigate AI’s impact on
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. This randomized controlled trial was conducted over a period of three years and was led by Principal Investigators Veslemøy Rydland and Ratib Lekhal. For more information, see the project website . The data
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currently competing planet formation models against observations. The primary responsibilities of this position involve the implementation of chemical compositions for forming exoplanets, using PLATO stars as
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certificates (if the original language of diplomas/certificates is not English or a Scandinavian language, an English language translation must be provided in addition to a copy of the original). Foreign
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(Integreat) . The candidate is expected to join Integreat and strengthen the interdisciplinary research on the boundaries between Knowledge Representation, Machine Learning and Statistics. The main purpose