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. Familiarity with frameworks such as TensorFlow and Keras, as well as libraries including Scikit-learn, NumPy, and pandas; - Experience with machine learning models such as Extreme Learning Machine (ELM
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staff are dedicated to the advancement of knowledge and learning, in the service of society. We are a multi-faculty institution, providing high-quality teaching, research and innovation across
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for future career development in both academia and tech. Profile Required: PhD in ML, computational neuroscience, physics, engineering, or related field Strong experience in machine learning (PyTorch
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for these frameworks, and use them to analyze key performance indicators such as achievable rates, coverage, and energy efficiency, as well as optimize relevant system parameters. Applicants must hold a PhD degree or
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, the quality of the PhD dissertation and publications, the applicant’s personal prerequisites and motivation to carry out the project and teach at the department. The hiring process will include an interview
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JET2SB team (PIs, postdocs and PhDs) from the Laboratoire de Physique des Plasmas (LPP, Paris, France) and the THEMIS team at the French-Spanish Laboratory for Astrophysics in Canarias (FSLAC, La Laguna
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collaborations with the group’s academic and industrial partners. • Supervise interns, PhD candidates and postdoctoral researchers, and contribute to the collective scientific life of the laboratory. • Disseminate
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modelling, and machine learning approaches to analyse large-scale datasets, including bulk and single-cell sequencing, gene expression arrays, proteomics, and metabolomics. Working closely with senior
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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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such as achievable rates, coverage, and energy efficiency, as well as optimize relevant system parameters. Applicants must hold a PhD degree or terminal degree from a recognized institution of higher