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invited to reach out to KeyGene. Selected candidates will collaborate closely with the KeyGene team to prepare and submit a successful application to the MSCA-PF program. Why KeyGene? We don’t just believe
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diagnostics through to large‑scale public health programs. The position combines advanced analytical work with research leadership, collaboration across disciplines, and contribution to competitive funding
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aims to improve electrodialysis (ED) for REE separation by developing advanced membranes and integrating AI-driven optimization techniques. By combining materials innovation with machine learning
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direction and day-to-day running of the research group. The post offers opportunities to learn and be trained in molecular biology techniques alongside their synthetic chemistry work. You will also help
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deep learning (segmentation and foundation-model architectures) Demonstrated ability to design and execute technical projects Scientific independence with clear interest in biological mechanisms and
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government law careers, public interest fellowships, and judicial clerkships; collaboration with external foundations and coordination of the law school's internal fellowship funding process; the promotion
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experience) in applied mathematics, physics or engineering, and strong, up-to-date specialist knowledge in analytical and numerical spray modelling and machine learning. Experience with OpenFOAM or similar CFD
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physical laws. Through supervision, interdisciplinary collaboration, and participation in Bergen’s dynamic marine research community, the candidate will acquire expertise in fluid mechanics, computational
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molecular laboratory; Ability to conduct independent scholarly work; Strong collaboration and communication skills; Excellent written and spoken English skills. Desired Qualifications* Experience working with
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assimilation, machine learning, and seasonal weather forecasts. As a Postdoctoral Research Fellow, you will play a crucial role in developing and testing statistical models for the accurate forecasting