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Stay ahead of emerging technologies and methodologies in data engineering and machine learning. Metropolis is seeking a Senior Machine Learning Data Engineer to play a crucial role in architecting, implementing, and managing our ML data ecosystem to support advanced machine learning initiatives.
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Proficiency in one of the following: Microsoft Excel, the Adobe Creative Suite, SketchUp, ArcGIS, statistical software (Stata, R, SPSS) traffic operations software (VISSIM, Synchro), design and drafting software (AutoCAD, MicroStation), or travel demand modeling software (TransCAD, Cube.
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Continuously improve knowledge and abilities in the areas of software and data engineering, statistical learning, and machine learning. Implement new statistical, or machine learning, models and maintain existing models, used in all facets of player acquisition and game play.
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Experience in autonomous and collaborative systems, hypersonics, calibration of radar sensors, or Artificial Intelligence / Machine Learning. Broad experience in disciplines adjacent to signal processing, including modeling and simulation; guidance, navigation, and control; embedded software development; and hardware in the loop testing.
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The Director will have extensive experience in Health Science and Medical Education including a broad knowledge of academic affairs management, teaching and learning assessment, data analysis and program evaluation, and faculty professional development.
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Five (5) or more years of experience practicing patent law in the area of artificial intelligence (AI), machine learning (ML), deep learning, data sciences, computational biology, bioinformatics or bioengineering.
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The Dean will be responsible for providing leadership and administrative supervision of the following Student Services areas Athletics, Student Discipline, Associated Students Organization (ASO), Disabled Students Program and Services (DSPS),Transfer Center, TRIO Scholars, TRIO STEM, Education Talent Search, Umoja, Puente.
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Under the general supervision of an Elementary School Principal, acts as secretary leading clerical workers in performing the office functions of: reception, record-keeping, scheduling, supplying, machine operation and mail distribution; interprets and translates in Spanish.
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In collaboration with campus partners such as the General Counsel and the Associate Dean of Faculty Affairs, provide guidance to search committees in adhering to institutional policies and legal requirements throughout the search process, while also outlining standard search timelines and processes to maintain consistency and efficiency in recruitment.
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Demonstrated accountability to continuous learning and growth (Franchise data, MSL role, Soft Skills, Personal Development). The Lead Medical Science Liaison (MSL) serves as a trusted scientific expert and partner representing Bayer in the medical community through the dissemination and education of scientific data related to Bayer products across the product lifecycle.
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The Reporting and Analytics team drives data-driven decision making at UCLA by providing delivering advanced data analytics, learning analytics, data modeling, automation, reporting and dashboarding, and other business intelligence solutions.
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The position of the Learning & Development Specialist will play a key role in designing, implementing, and managing learning and development programs for employees across the organization.
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Familiarity with SolidWorks, Creo, or other 3D modeling software. We are putting data to work to boost efficiency, productivity, quality and safety across industrial, manufacturing, infrastructure, public sector and mobility applications.
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These systems include, transformers, PLC’s, generators, switchgear, UPS systems, STS’, ATS’ PDU’s, chilled water systems, CRAC/CRAH, wet sprinkler systems and pre-action sprinkler, network equipment, transmission media, cabling infrastructure, security hardware, and CCTV. Duties: Completion of CoreSite’s Data Center Operations Qualification Program to the tier level at which you are hired within the first nine (9) months of employment.
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Maintains BI proficiency and expertise through continuous learning of SCAN data environments including the SCAN Enterprise Data Warehouse, other upstream systems, and supplemental data stores.
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