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preconditioners for Newton methods. Concrete model problems and numerical examples will be used to guide and prototype the development. About the Department of Mathematics at UiB The prospective PhD candidate will
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the methodologies for preventing unintended, harmful behaviors in open-source AI models. Your work will focus on the foundational challenges of safety, from mitigating algorithmic bias to ensuring systems remain
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green transition. About the project/work tasks: The overall goal of this PhD project is to develop methodologies for real-time modeling and inversion of geophysical well logs, with a particular focus on
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(logistics, smart grids) Health Care Edge systems are complex. They comprise numerous heterogeneous distributed nodes. These nodes are computing, storing, monitoring, actuating, etc. To couple with these use
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) Industrial (logistics, smart grids) Health Care Edge systems are complex. They comprise numerous heterogeneous distributed nodes. These nodes are computing, storing, monitoring, actuating, etc. To couple with
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, specifically large language models (LLMs), and general-purpose AI become more ubiquitous, they introduce novel and complex attack surfaces. Your mission will be to proactively investigate these vulnerabilities
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to develop methodologies for real-time modeling and inversion of geophysical well logs, with a particular focus on borehole electromagnetic data during drilling. This includes the further development
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dynamics, sediment sources, carbon cycling, during past warm periods; provide geophysical constraints for i2B numerical modelling teams for example, palaeo-bathymetry, palaeo-ice dynamics and palaeo
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understanding, including changes in current patterns, glacial dynamics, sediment sources, carbon cycling, during past warm periods; provide geophysical constraints for i2B numerical modelling teams for example
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://www.uib.no/en/sefas About the project/work tasks: The postdoctoral research fellow will perform quantitative data analysis using advanced techniques such as signal processing and dynamic systems modeling, and