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engineering pipelines. Implement models in Python using frameworks such as PyTorch, TensorFlow. Perform statistical analyses and model benchmarking against existing methods. Collaborate with wet-lab scientists
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demand forecasting, classroom utilization, etc.). Build predictive and prescriptive models (e.g., risk scoring, enrollment forecasting, course section optimization) using R/Python; translate outputs
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to optimize data processing workflows, particularly for large-volume, high-dimensional healthcare datasets. Utilizes object-oriented programming (e.g., Python, Java) to develop modular, scalable research
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presentations using Power Point, R/Python and other graphics software as needed. Search literature for references to technical problems and keep informed by reading technical journal and publications. Present
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infrastructure to support machine learning (ML) and artificial intelligence (AI) workloads across research, clinical, and operational domains Apply strong proficiency in Python and machine learning frameworks
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relevant field Proficiency in Python, and/or R statistical package. Proficiency in using LLM, model training, and Generative AI. Experience with supervised and unsupervised ML techniques Skill in collecting
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, Statistics, Genetics, Computer Science, or a related field. Excellent communications skills in English (both verbal and written). Proficiency in using R/Bioconductor and Perl/Python for genomic data analysis
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the oceanographic community including MatLab, Ferret, and/or Python. ● The incumbent must have a proven publication record, strong scientific writing and computer skills, and the ability to communicate science to
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learning methods Strong programming skills in Python and/or R Experience with deep learning frameworks (PyTorch or TensorFlow) Knowledge, Skills and Attitudes: Snakemake pipeline development with Conda
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communication—not coding or software development. Candidates whose primary experience is in Python, R, SQL, statistical modeling, or data engineering will not be a match for this position. The University of Miami