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Field
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to a global scale, targeting multiple oceanic bioprovinces to robustly quantify the alkalinization-attributable signal against natural carbon cycle fluctuations. The postdoctoral researcher will be
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python code) in developing the UK MRIO for a range of applications, whilst working alongside the wider research team in an inter-disciplinary environment. You will display a strong commitment to applied
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python code) in developing the UK MRIO for a range of applications, whilst working alongside the wider research team in an inter-disciplinary environment. You will display a strong commitment to applied
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data. Harmonize, curate, and provide customized datasets across multiple spatial and temporal resolutions tailored to specific research questions and stakeholder needs. Apply advanced statistical
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proficiency in Python (e.g., NumPy, Pandas, scikit-learn, PyTorch, TensorFlow); additional experience with R, MATLAB, or Julia is an advantage. Machine Learning Expertise: Familiarity with supervised
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techniques, methods, and research, especially deep learning literature, and how these methods apply to our use cases Ability to manage multiple projects and assignments with a high level of autonomy and
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The BrainSignatures Lab (BSL) in its current form is a proteomics lab dedicated to finding biofluid signatures of Alzheimer's disease and other dementias. We follow multiple longitudinal cohorts
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tethered to an autonomous ground vehicle. Multiple vehicles operating together will create high resolution maps of emissions and airflow, at unprecedented spatial resolutions. The project will be carried out
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tethered to an autonomous ground vehicle. Multiple vehicles operating together will create high resolution maps of emissions and airflow, at unprecedented spatial resolutions. The project will be carried out
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. Researching and developing novel machine learning architectures for integration across multiple types of high-dimensional data. Researching and implementing novel algorithms for analysis of latent factors and