31 evolution "https:" "https:" "https:" "Multiple" Fellowship positions at University of Oslo
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on the development of bioinformatic tools and advanced omics- and biomarker analyses. Highly motivated candidates with strong analytical skills will have excellent opportunities to contribute to multiple high-impact
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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
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Battery, which is an interdisciplinary collaboration between multiple actors in Norway including academia, research institutes and industry. The selected PhD Research Fellow will be involved in the work
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project involving collaboration across multiple faculties and departments. The associated PhD position will be hosted at the Department of Mathematics, with a focus on data and risk analysis. Accordingly
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exemptions from the requirements: https://www.mn.uio.no/english/research/phd/regulations/regulations.html#toc8 Grade requirements: The norm is as follows: The average grade point for courses included in
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underlying cumulative effects, recovery, and ecophysiological tip-ping points from multiple stressor disturbances (climate change and pollution). We will study complex questions of WHY key biological responses
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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) incorporation of expert knowledge
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platforms that require milli-kelvin temperatures to function, which makes them highly intriguing for studying properties of cell dynamics and biomedical applications in general. Multiple approaches will be
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future low-carbon energy systems, with infrastructure developments spanning multiple sectors and regions. This PhD project addresses this academic topic by applying data analysis, energy system and/or
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extremely high dimensionality, sparsity, and a strong need for biological interpretability. In such settings, current practice in applying clustering often falls short: multiple biologically plausible