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Job Description If you have a keen interest in computer vision, machine learning, and deep learning, and their application in species identification and tracking to study animal responses to fishing
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relevant numerical methods to dramatically reduce time to a feasible solution, parallelization of computations/high-performance computing, and other emerging and novel techniques to improve the efficiency
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of the following: Ecosystem Modeling, Machine Learning, Microbiome, Microbial Ecology, Soil Science, or Computational Biology. The positions are for several different projects, including the following: (P1
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different areas of nanoscience and nanotechnology. Job Title: Postdoctoral researcher Research area or group: Theory and Simulation Group Description of Group/Project: The Theory and Simulation Group has
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optimisation, distributed-parallel-GPU optimisation (e.g. pagmo2), Taylor-based numerical integration of ODEs (e.g. heyoka), differential algebra and high order automated differentiation (audi), quantum