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Field
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Requirements: A PhD degree in mathematics or related areas, with a strong background in topological data analysis (TDA) and machine learning on biomolecular data Proficiency in programming languages such as
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: Develop novel machine learning theories and techniques for analyzing noisy time-series data, with a particular focus on seismic signals Perform uncertainty quantification in time-series analysis to assess
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analysis. Ability to communicate complex information clearly, orally and in writing (including for academic publication). A PhD in relevant field (e.g. sociology, politics, social policy). A developing
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3rd August 2025 Languages English English Norsk Nynorsk English PhD Research Fellow in Tectonics/Basin analysis Apply for this job See advertisement UiB - Knowledge that shapes society Through
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selectivity of lipid transfer proteins. The project will exploit the wealth of available protein sequence and structure data through analysis using structural bioinformatics and molecular modeling tools, as
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Experience with high-throughput sequencing omics data analysis Proficiency in programming with Python, R, or C++ Desired: Familiarity with statistical and machine learning techniques. Knowledge about molecular
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adaptations, Data analysis. What scientific question will you investigate? Outline of the project aims: This post will focus on investigating how developmental adaptations after preterm birth and favourable
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to inclusivity and equal opportunity. For further information about the recruitment process, click here . via Unsplash Life as a PhD candidate at UiB Marion Claireaux tells about life and work as a PhD candidate
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. For further information about the recruitment process, click here . Life as a PhD candidate at UiB Marion Claireaux tells about life and work as a PhD candidate at UiB. ... (Video unable to load from YouTube
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This PhD scholarship is funded by an Australian Research Council Industry Fellowship grant. It is a 3.5-year research training program. The ARC Industry Fellowship program aims to develop a strong