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Within the Department of Epidemiology and Biostatistics, University of California, San Francisco (UCSF), invites applications for one or more full-time Professional Researchers at the Assistant, Associate, or Full rank with a start date as early as August 2024.
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Master's degree in Bioinformatics, Biostatistics, Computational Biology, Data Science, Computer Science, or related field. Bachelor's degree in Bioinformatics, Biostatistics, Computational Biology, Data Science, Computer Science, or related field.
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Your expertise in Java, Python, Spark cluster management, data science, big data, REST API development, and knowledge of Databricks and Delta Lake will be essential in driving the success of our data initiatives.
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Assist in development and testing of innovative analytical approaches, including but not limited to Big Data, A.I., machine learning, text analytics, and Natural Language Processing (NLP.
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Development, enhancement, and support of data ingestion jobs from various source systems following existing design patterns using GCP Services such as Apache Spark, Dataproc, Dataflow, BigQuery, Airflow, etc.
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With Big Data technology in cloud and on-premises environments: Hadoop, HDFS, Spark, NoSQL Databases, Hive, MongoDB, Airflow, Kafka, AWS, Azure, Dockers or Snowflake. We are a premier IT consulting firm specializing in delivering top-tier Big Data solutions to companies across various sectors such as finance, energy, e-commerce, logistics, travel, retail, entertainment, automotive, and healthcare.
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Adhere to and contribute to the development of best practices for statistical modeling, machine learning, natural language processing, information retrieval, data mining, and big data management and analytics.
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Lifetime Activities is looking for an energetic and friendly full-time Tennis Professional at our community-based tennis center in Cupertino, California. Tennis Professional Cupertino Sport Center – Full-Time.
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The big data architect will support the development of autonomous driving software solutions by playing the role of subject matter expert for the big data systems, underlying data and data products.
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Interpret and analyze results of Nucleic Acid QC, Real-time PCR, DNA Sequencing and Fragment Analysis data often where few guidelines exist and make modifications to existing procedures and protocols.
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We believe that life science product development can be accelerated with industrial strength software platforms to generate, prepare, process and utilize large and complex multi-modal molecular datasets using the best-in-class ML and data science practices.
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Work collaboratively with application engineering, DevOps teams, and data scientists to ensure full integration and optimization of AI/ML models and Big Data processing. Lead Cloud Native development initiatives with a strong focus on data science.
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Years of work experience as a Big Data Engineer. Extract, Transform and Load data from multiple sources and multiple formats using Big Data Technologies. Data Engineering using GCP Technologies (BigQuery, DataProc, Dataflow, Composer, DataStream, etc.
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We are hiring a talented Senior Big Data Engineer to build cloud-based data pipelines for machine learning, data processing with Apache Spark, and database development.
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The developed tools will ultimately be integrated with TRMC’s highly visible data analytic project supporting multiple DoD ranges called CHEETAS. The successful candidate will work with data science, data engineer, and software development teams to support our customers by demonstrating to DoD range stakeholders the ‘art of the possible’ with CHEETAS and other standard commercial Big Data tools.
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