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predictive modelling, pattern analysis and recognition. Demonstration of AI algorithms implementation To be considered for the role, you will be educated to a minimum of PhD level in an appropriate discipline
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scientific narratives Interest in microbiome science and women's health Preferred but not required: Experience with microbiome or multi-omic data analysis, causal inference methods, or infectious disease
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Theme. The role involves leading and contributing to mixed-methods research across all stages of the research lifecycle, including design, delivery, analysis, publication and dissemination. You will work
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• Applicants should have a PhD degree in civil or mechanical engineering or related disciplines • Possess fundamental knowledge in fatigue and fracture, structural integrity assessments and data driven
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20th May 2026 Languages English English English The Department of Computer Science has a vacancy for a Postdoctoral Fellow in System-Level Analysis of Deep-Learning Acceleration Apply for this job
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for analysis (including wet-sieving sediment samples, picking foraminifera under a microscope, cleaning, and weighing) Scientific data analysis and interpretation, also possibly in collaboration with climate
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experiments and analyses associated with experiments Create mitigation/alternative strategies when needed Literature and Data Analysis ~20% Read and analyze peer-reviewed literature surrounding water
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for the position: Master’s degree (120 ECTS credits) or equivalent qualifications in ecology or related areas when starting the PhD position. You have a solid methodological foundation in ecological data collection
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to lead analysis of soil microbiome data, and to carry out plant genetic analysis (genomic selection and identification of quantitative trait loci and candidate genes), working alongside two other Research
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27 Mar 2026 Job Information Organisation/Company University of Bergen Department Department of Mathematics Research Field Mathematics Researcher Profile First Stage Researcher (R1) Positions PhD