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The laboratory focuses on using big data approaches to neuroimaging and genetics, using behavioral and non-invasive MRIs to examine brain-behavior relationships after stroke. Technical knowledge of neuroimaging and brain anatomy, experience with organizing, maintaining, and analyzing large brain imaging datasets, programming expertise with python, Bash and parallel computing, experience with Brain Imaging Data Standards (BIDS) and MRI—based neuroimaging software programs (e.g., FreeSurfer, ITKSna) and statistics/machine learning strongly preferred.
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Supermicro® is a Top Tier provider of advanced server, storage, and networking solutions for Data Center, Cloud Computing, Enterprise IT, Hadoop/ Big Data, Hyperscale, HPC and IoT/Embedded customers worldwide.
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Strong foundation in distributed systems and big data technologies, with extensive experience in at least a few of the following: Spark, Hadoop, Kafka, Airflow, MLflow, Cassandra, ElasticSearch.
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Demonstrated understanding of current and emerging strategies and technologies, including traffic management, integrated corridor management, multi-modal management, demand management, transportation operations, decision support, modeling/simulation, prediction, and big data.
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Apply mathematical (geometry, linear algebra, numerical methods, error analysis) and machine learning methods to prototype and develop algorithms for converting raw depth sensor data into point clouds, 2D and 3D tracking like SLAM, 3D point cloud reconstruction, registration, and classification as well as texture projection and completion.
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Big Data & Streaming: 2+ years using big data and/or streaming technologies (e.g. Apache Spark, Apache Kafka, Apache Flink) Data: Good understanding of data & data processing tools (e.g. Spark, Kafka, SQL), of relational database technologies and of analytics databases (e.g. Redshift, Vertica, Snowflake.
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Make decisions in complex and multi-faceted data engineering situations requiring understanding of software package options and programming language and compliance requirements that influence and lead Technology to meet deliverables and drive organizational change.
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Operating TEM tools to obtain TEM/STEM images, SAED, EDS and EELS data from samples. Learning & Development: take on career development programs and goal setting to create big possibilities for your career and life.
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Utilize On-Prem and Cloud-based ETL platforms, Cloud Data warehouse, AWS, GitHub, various scripting languages, SQL, querying, data quality, and metadata management tools. · Familiarity with modern data management tools and platforms including Spark, Hadoop/Hive, NoSQL, APIs, Streaming, and other analytic data platforms.
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Experience with Big Data technologies such as Spark/PySpark, Hive, Pig, and Kafka is also a plus. Experience working with modern cloud data platforms like AWS, Azure, GCP, Snowflake, Databricks, etc.
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Where We Are: From sprawling public art, to a robust music scene, to nature so big and beautiful, Sanford has the small-town feel while still offering something for everyone. Equal opportunity and affirmative action employers and are looking for diversity in candidates for employment: Minority/Female/Disabled/Protected Veteran By applying, you consent to your information being transmitted by HourlyJobsNearMe to the Employer, as data controller, through the Employer’s data processor SonicJobs.
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Demonstrated expertise in applying data science techniques and methodologies to biomedical research problems, preferably in areas such as genomics, personalized medicine, or clinical informatics/big data.
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Proficient understanding of relational (e.g. Oracle, SQL Server, PostgreSQL) and Big Data distributed structures (Hadoop/Spark) in order to source data effectively. The Data Scientist must also be able to communicate complex quantitative analyses in a clear, precise, and actionable manner to management and executive level audiences.
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We are currently seeking an experienced Python Data Engineer to join the Big Data and Advanced Analytics department. As part of the Data Engineering team, the Lead Python Data Engineer will work closely with Business domain experts and Data Scientists to solve real-world oil and gas midstream problems using advanced analytics, machine learning, and artificial intelligence.
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Leverage big data technologies to efficiently process and analyze very large datasets, similar to those encountered in a federal agency. - Demonstrated experience working with very large datasets and leveraging big data technologies to process and analyze data efficiently.
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big data jobs Title: management Company: Accenture in WA, Ohio
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