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Field
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for this position, the following is required: PhD in a relevant field such as computer science, quantum physics, electronic engineering, data science, AI, machine learning, Earth system science, climate etc. with a
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subjects: computational biology or machine learning, statistical genetics and/or have relevant post-qualification experience in quantitative, genomic or molecular epidemiology, or statistical genetics. You
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new machine learning methods to integrate remote sensing of farm habitats with ground level scoring of farm biodiversity value but many issues still need to be considered. This Post Doc presents
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Acceleration who has: strong experience in FPGA design, machine learning or a related field in the case of the Postdoctoral Research Associate, a PhD (or near completion) in FPGA design, machine learning or a
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. The individual is expected to work collaboratively with multidisciplinary teams from academia, government, and industry, and serve as PI/Co-PI on projects. Required Qualifications • Successful completion of a PhD
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formula. Preferred Qualifications Familiarity with Python, R and MATLAB. Experience with machine learning/deep learning. Master’s degree in a related field. PhD or near to completion of a PhD (or equivalent
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Tool (SWAT model), and/or Noah Land Surface Model with Multi-Parameterization Options (Noah-MP model). Experience in either developing or applying Artificial Intelligence and Machine Learning tools and
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(data assimilation, machine learning, etc.) for the GNSS data analysis and applying GNSS data products in weather and climate research Extending and maintaining scientific cooperation with academic
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of the Saez Rodriguez group is to acquire a functional understanding of the deregulation of signalling networks in disease and to apply this knowledge to develop novel therapeutics. We focus on cancer, auto
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repeated for a database of events covering different sea ice types, conditions, locations, and rates of ice deformation (from docile to violent). Machine learning techniques will then be used to find a