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using polygenic scores, GWAS, Mendelian randomisation, and other statistical and machine-learning methods. The appointed researcher will have research interests aligned with those of our groups and the
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this pathogen to cause infections, survive attacks by innate immune cells (macrophages and neutrophils), and develop resistance to antifungal agents (see selected publications below). The PhD student will learn
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2nd October 2026 Languages English English Norsk Nynorsk English PhD Research Fellow in Remote Sensing and modelling of alpine vegetation change Apply for this job See advertisement UiB - Knowledge
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. The ideal candidate will possess not only a deep conceptual understanding of neuroscience but also advanced technical expertise in machine learning, artificial intelligence, and data modeling approaches. We
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neuroscience. Qualifications Successful applicants will have earned a PhD, MD, or MD/PhD, completed a minimum of three years of postdoctoral training, and demonstrated excellence in research with a strong
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This PhD project will develop intelligent, data-driven methods that enable electric vehicles (EVs) to serve as mobile energy storage while remaining readily available for transportation
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. If you are interested in medical education and research, this PhD project offers an opportunity to contribute to improving coaching in medical residency training and, ultimately, the learning and
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outcome sets. You will either need a PhD (or be nearing completion), in computer science, data science, artificial intelligence/machine learning (AI/ML), health data science, bioinformatics or a related
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, and mathematical data science, with an active programme at the interface of dynamical systems, machine learning, and quantum information. The position sits in the GOAL group (GeOmetry, dynAmics, and
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other duties related to the research program. Job Requirements: A PhD in Computer Science or a relevant field. Strong background in deep learning, Generative AI, and multimodal learning. Strong