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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 4 hours ago
are of particular interest. The candidate will also develop or improve software for the analysis of these unique MRI data, such as object detection, motion correction, and denoising. These novel MRI tools will be
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in causal inference ● Minimum of 2 years’ experience in statistical software R, Python or equivalent Preferred Qualifications: ● Experience with development of R packages or other
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with bioinformatics tools and software for data analysis (e.g. Seurat, SquidPy, Bioconductor). Strong understanding of statistical methods and data visualization techniques. Familiarity with spatial
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., proteins, DNA, RNA, and biomolecular complexes such as protein-protein and protein-DNA). Proficiency in NMR-related software, as well as designing and implementing new NMR pulse sequences, is preferred
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and about 30 MS and PhD students. A department facilities video can be viewed at: https://www.youtube.com/watch?v=33zsIh31r40 The Community: Auburn is recognized as one of America’s best small towns
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are proficiency in Python, deep learning frameworks such as Keras, PyTorch, TensorFlow, or other related software stacks, and a solid background in machine learning, cybersecurity, or AI robotics, and the ability
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publications see here: https://www.scilifelab.se/researchers/stefanos-stagkourakis/ Essential technical expertise (Required) This position is intended for candidates who can immediately operate at a high
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minute, to be completely filled out, dated, and signed, is available at https://www.ua.pt/file/78384 . 2.4 — Submission of the application: 2.4.1 — The application may be submitted in Portuguese or English
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2 or more years of postdoctoral research experience Background in pelagic active acoustics and deep-sea ecology A demonstrated ability to work on programming software such us R, Phyton or Matlab You
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research conferences and for manuscript preparation; use graphics and statistical software to analyze and present data; search pertinent scientific literature as needed. Supervise other personnel in