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Bioinformatics experience, including DNA sequence analysis, data science programming (e.g., Python, R), the Unix command line, computational workflows, and statistics; a Ph. D. in marine science, bioinformatics, genomics, molecular biology, microbiology, systems biology, or a related field.
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Kendall and Homestead Campuses: Health Science and Nursing programming and supports multimedia needs of the MDC Athletics Department and its teams. Supports Salesforce Marketing Cloud which includes leveraging AI technology to personalize the student journey, supporting omni-channel engagement, and making data driven decisions to optimize strategy and campaigns in real-time.
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Strong knowledge in data analytics as applied to failure analysis and corrective actions, Medical Device particularly in diagnostics analyzers and automation, ASTM, HL7 protocol and Health informatics, programming languages and concepts, and problem-solving, communication and technical writing.
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The statistical programmer will be an integral member of the research team and provide programming support for the cleaning, summarizing/reporting, and analysis of research data. Bachelor's or Master's degree in statistics, biostatistics, mathematics, computer science, engineering, or a closely related analytical field.
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Assist in the design and implementation of procedures (e.g. via programming, restructuring of data files, expansion of database components) to improve efficiency and support growth of the research program.
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Programming; Monte Carlo simulations; Statistical analysis; Probability theory; Regression analysis; Data science; Parallel computing; and Numerical calculation. Masters degree or equivalent in Mathematics, Finance, Computer Science, Engineering, Physics, or a related field with quantitative emphasis; plus; one (1) year of experience as a Developer or Coder or in a related position, specifically in the following: Implementing distributed computation on multiple computers (e.g. High Performance Computing or HPC cluster); Developing models to forecast mortgage cash flows using C.
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Minimum Requirements: Master’s degree or equivalent in Mathematics, Finance, Computer Science, Engineering, Physics, or a related field with quantitative emphasis; plus; one (1) year of experience as a Developer or Coder or in a related position, specifically in the following: Implementing distributed computation on multiple computers (e.g. High Performance Computing or HPC cluster); Developing models to forecast mortgage cash flows using C.
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Expertise in programming languages such as Python or R and familiarity with AI/machine learning frameworks (e.g., TensorFlow, PyTorch). - Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, or related field, with a strong emphasis on product analytics.
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Degree qualified and Masters in Quantitative Finance, Data Science or related qualification● Some exposure to the design of both pricing and execution algorithms● Experience of handling and analysing large datasets, including price data● Experience in using one or more statistical programming / data management languages.
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Experience in specific programming languages, such as Python, SQL, Java, C. The position sits in our Emerging Technologies and Advanced Analytics Solutions, which aims to disrupt our industry with emerging technologies and data science solutions that drive sustainable competitive advantage for Lennar.
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2+ years of work experience working in a technical field (science, technology, programming, financial services, data science, etc.) If you're eager for a role that combines research, strategy, product development, and data science in the ever-evolving realm of education and technology, seize the moment and apply below.
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14, ideally later) Bachelor's degree in Math,puter Science (or other STEM field) from a top-tier university Strong programming skills with clean reliable code Finance industry experience beneficial, but not required Desirable: Experience with Python and/or Java would be a plus Modern development stack: source control, CI/CD, containers, etc.
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The Director oversees the operational functions of Khoury programs on the campus, including faculty mentoring, budgeting, and collaboration with Graduate Student Services staff that provide academic advising, cocurricular programming, and career services support.
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The ideal candidate will have a deep understanding and extensive experience in data science, including machine learning, predictive modeling, and data visualization. Proficiency in programming languages like Python, R, or Scala.
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Experience with tools and programming languages such as Python, R, SQL, and data visualization tools is essential. Formulate Data Science Problems: Collaborate with cross-functional teams, including land management, construction, procurement, marketing, sales, and finance, to identify business problems and opportunities where data science and machine learning, including generative AI, can add value.
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science programming jobs in Miami, FL
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