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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | about 22 hours ago
measurements. The participant will research and develop robust metrology methodologies to characterize mirror surface quality across multiple spatial frequency ranges using techniques such as Fizeau
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to Sustainability. Sharing science, shaping tomorrow . Utrecht University’s Faculty of Geosciences studies the Earth: from the Earth’s core to its surface, including man’s spatial and material utilisation
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to completion) in a biomedical, bioinformatic or relevant subject. You must have a strong bioinformatic, analytical and programming skills, applicable or multi-omic or spatial data. You need to have a strong
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strong bioinformatic, analytical and programming skills, applicable or multi-omic or spatial data. You need to have a strong interest in the research topic including renal pathology and to hold experience
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microbial genome sequencing, metagenomics, metabolomics, transcriptomics, single-cell or spatial profiling, and computational analysis. These technologies will be used primarily to identify microbial
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algorithms capable of operating in large, partially observed spatial domains to infer efficient, interpretable strategies for estimating archaeological potential, that capture distinct criteria including
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equipment within the laboratory environment for protocols such as 10X controllers, spatial transcriptomics profilers, PCR machines and flow cytometers. About You You will hold a PhD/DPhil in immunology
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growing climate-related pressures: intensifying droughts, more frequent and damaging storms, and cascading risks such as bark-beetle outbreaks. Forest owners and regional authorities need spatially detailed
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layers. Within this environment, we will design and evaluate new reinforcement learning algorithms capable of operating in large, partially observed spatial domains to infer efficient, interpretable
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. The project will consider different types of epidemic models, including spatial and individual-based models. Methodologically, the work will focus on multi-objective, hierarchical, and explainable reinforcement