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. The position includes the opportunity for three weeks of training in higher education teaching and learning. The purpose of the position is to develop the independence as a researcher and to create
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earth systems. There are also opportunities for biogeochemical modelling as part of the position and either some knowledge of, or interest in, this would be ideal. To be successful you will need: PhD
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Postdoctoral Associate Required Qualification: (as evidenced by an attached resume) PhD (or foreign equivalent) in Bioengineering, Genetics, Genomics, Biomedical Engineering, Analytical Chemistry
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-series data assist in the supervision of PhD and Honours students working on related topics, including the analysis of large-scale sleep recordings from a dynamical systems perspective. About you The
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. Our mission is to develop life-changing treatments for glaucoma and other optic nerve diseases that cause irreversible blindness. Learn more about the Snow Vision Accelerator: https
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techniques. Facilities and Resources include: • Access to 7T human MRI scanner, several human 3T MRI scanners, 3T human PET-MR scanner, and preclinical MRI and PET facilities. • Opportunities for learning from
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. To be successful you will need: PhD or equivalent degree (or thesis submitted) in earth sciences. Demonstrated research ability in sedimentology and sedimentary geochemistry—preferably with expertise in
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related to staff position within a Research Infrastructure? No Offer Description About UM6P: Mohammed VI Polytechnic University (UM6P) is an internationally oriented institution of higher learning, that is
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context related to fields relevant for the Master program is a required qualification for the position, and the successful candidate must be able to teach in a Scandinavian language. The selected candidate
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | 3 days ago
://doi.org/10.3389/fenvs.2025.1473890 Madani, N., et al., & Miller, C. E. (2024). A machine learning approach to produce a continuous solar-induced chlorophyll fluorescence dataset for understanding Arctic