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Field
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microscopy or flow cytometry and be capable of learning techniques required for the genetic transformation of filamentous fungi. Candidates coming from model organisms, such as Saccharomyces cerevisiae
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-of-the-art in SLAM, situational awareness, computer vision, machine learning, robotics, and related fields Developing and implementing innovative solutions, validated through real datasets and experiments
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data storage capacity to accelerate research in intensive computing and large-scale data analytics, commonly referred to as Big Data. This characteristic distinguishes the HPC center at the university
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in interdisciplinary RDI environments and contributing to experimental demonstrators (lab and field). Excellent problem-solving, analytical, and communication skills suited for both technical and
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challenge. We seek a senior computational biologist to apply these extensive in-house datasets toward the development of novel, domain-tailored machine-learning models and analytical methods. You will explore
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change #utilize a participatory system dynamics modeling to match resilience patterns with best-fit learning cases from various regional contexts in Europe #develop a resilience performance framework for
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learning algorithms into professional software with an intuitive user interface, incorporating feedback from CHWs through iterative design and evaluation cycles. The selected candidate will be part of a
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learning, deep learning, and large language models (LLMs), for the analysis of high-throughput multi-omics datasets (especially single-cell and spatial omics) and large textual corpora (e.g., scientific
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Current Employees: If you are a current Staff, Faculty or Temporary employee at the University of Miami, please click here to log in to Workday to use the internal application process. To learn how
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, morphology tagging, syntax parsing, readability assessment), machine translation, and text analytics. Since its establishment in 2014, the CAMeL Lab has produced over 180 publications and 20 language resources