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Qualifications PhD w/5 years of industry experience or MSEE w/10 years of industry experience Strong Signal and Power Integrity Background Strong Mixed-signal Circuit Design Background Hands on knowledge of 3D E.M. field solvers, Matlab, time and frequency domain simulation tools like HFSS, HSPICE, SPECTRE, ADS, etc.
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Perform other duties designated by the Program Administrator, Lead Instructor and/or Academic Dean. Facilitate student learning, provide effective instruction, and perform evaluations of student learning for all assigned clinicals, labs, or simulated clinical experiences (SCE), using each course's standard course outline as a guide.
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As a Signal Integrity Engineer at Micron, you will be responsible for leading the design and analysis of high-speed (HS) memory interfaces and power distribution networks (PDN). Deep understanding of electromagnetic and transmission line theory, general I/O design, signal integrity, and differential and single-ended interface technologies.
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Demonstrated knowledge via certifications in cloud platforms and/or cyber security; examples include AWS Certified Solutions Architect, AWS Security Specialty, Certified Kubernetes Administrator (CKA), Certified Kubernetes Security Specialist (CKS.
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Licenses/Certifications: Must have at least one of the following credentials: RHIA (Registered Health Information Administrator), RHIT (Registered Health Information Technician), CCS (Certified Coding Specialist), CPC (Certified Professional Coder), COC (Certified Outpatient Coder), CIC (Certified Inpatient Coder), CRC (Certified Risk Adjustment Coder), CAISS (Certified Abbreviated Injury Scale Specialist), CSTR (Certified Specialist in Trauma Registries.
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Business Intelligence (BI), Database Design, Data Engineering, Data Modeling, Data Science, Data Visualization, Machine Learning, Project Management, Software Development, Stakeholder Relationship Management.
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Ensure steady process of transfer of advanced technology research (GenAI, LLM & SLM, machine learning, text & data mining) into core product development roadmaps. Ensure steady process of transfer of advanced technology research (GenAI, LLM & SLM, machine learning, text & data mining) into core product development roadmaps.
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Continuous learning: Passion for staying up-to-date with the latest advancements in machine learning and data engineering. We are seeking a highly-skilled and experienced Senior Machine Learning Infrastructure Engineer to join us and help advance our current and future deployment pipeline of machine learning, deep learning, and NLP models to deliver better health care solutions.
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At least four (4) years’ work experience as a Service Desk Technician, Computer Operator, or Desktop Administrator. At least four (4) years’ work experience as a Service Desk Technician, Computer Operator, or Desktop Administrator.
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Oversee extracting and collecting diagnosis data from claims systems, submitting this data in the form of Medicare Risk Adjustment Processing System (RAPS) files to CMS in a timely manner, and oversee the RAPS record error correction processes.
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Support Seed Agronomist on Grower Improvement Plans (GIP) aimed at improving yield and quality through data collection, trialing, focused extension support, and reporting. Professional Development Engage in continuous learning opportunities to develop skills and knowledge of potato production.
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ATX Learning is seeking a qualified Registered Behavior Technician (RBT) to join our team and contribute to creating an inclusive and supportive learning environment. ATX Learning looks forward to welcoming a passionate Registered Behavior Technician to our dedicated team.
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Proficient in data analysis through JMP, Python or other data engineering software. Extract, monitor, analyze, and react to inline, defect, param and probe data to fix yield issues, increase performance and reliability, add process margin, and reduce costs.
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The incumbent is responsible for development of testing strategy (manual and automated), QA framework that supports agile, waterfall, and hybrid delivery methodologies across the digital portfolio of products including but not limited to N-tier enterprise applications, mobile apps, middleware, webchat, SMS, email marketing, low-code, digital signatures, robotic process automation, analytics/advanced analytics, machine learning, artificial intelligence, and other emerging digital technologies.
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Data Lifecycle Management (BigID, OneTrust), Data Loss Prevention (Forcepoint, Symantec/Broadcom, Proofpoint), Cryptography (Venafi, Thales), Database Activity Monitoring (IBM Security, Imperva), Data Governance and Data Protection (Microsoft.
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