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Experience in software-aided DFM validation for PCB fabrication and Assembly using Valor NPI and navigating Cadence Allegro Layout environment for design & data review and with Geometric Dimensioning and Tolerancing (GD&T) and 2D/3D tolerance analyses.
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These assessments involve manual testing and analysis as well as the use of automated application vulnerability scanning/testing tools such as AppScan, WebInspect, Burp Suite Professional and/or code review tools such as HP Fortify, Ounce Labs or Checkmarx.
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Description: Job Summary:Performs pre-analytical, analytical and post-analytical phase testing of all complexities as defined by Clinical Laboratory Improvement Act/Amendment (CLIA) to include specialized tests and analysis in one or more areas of clinical laboratory such as Hematology, Microbiology, Clinical Chemistry, Urinalysis, Immunohematology, Serology, Parasitology and chemical and morphological examinations to obtain data for use in diagnosis and recording laboratory test results.
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Manages upstream product development marketing activities such as defining product requirements, KOL feedback analysis, surgeon design team management, pre-clinical and clinical evaluation/validation, budgeting, forecasting, and inventory planning.
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Utilize expertise in signal processing and time-series analysis to analyze biosensor systems and optimize their performance. As a Signal Processing Engineer at WHOOP, you will be part of a cross-functional team composed of DSP, Soft Goods, WHOOP Labs, Firmware, and Data Science.
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Experience with design for six sigma, inclusive of structure problem solving approach, design experimentation and optimization (DOE), root cause and defect/failure analysis, FMEA, FEA, reliability testing, statistical data analysis, manufacturing process knowledge (MSA/GRR.
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The team collaborates with cross-functional team members (MFG Eng, Ops, Plant Operations Eng, Chemistry/Micro Labs) for day-to-day sustaining and validation activities for Components and Tissue materials required for valve assembly (Pre-Valve.
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As a summer intern in our group, you will have project opportunities to partner with laboratory and data scientists in our Research Labs to apply advanced computational methods (such as natural language processing, image analysis, machine learning, and data engineering) across our Company's Discovery and Pre-clinical Development enterprise.
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Interface with validation labs as required to resolve issues. Failure analysis of pre- production and prototype products. Communicate and resolve validation and prototype issues with customers.
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Leads product development cadaver labs to support design verification and validation. Knowledge of CAD software (SolidWorks preferred), as well as familiarity with Finite Element Analysis.
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They use their education to work with a variety of tools including CAD for fixture design, root cause analysis methods, LabView, and validation activities to optimize production, inspection, and quality system processes.
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Employer will accept a Bachelor's degree in Electronics Engineering, Software Engineering, Computer Engineering, Computer Science, or related field and 3 years of experience in the job offered or in a Program Verification & Validation Designer-related occupation.
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As a Mechanical Engineer, you will be designing and evaluating fixtures used in manufacturing camera modules and in test labs to collect accurate data from engineering devices, identifying product requirements and contributing to research and project planning.
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Participates in validation of clinical testing and development of new clinical assays to be run in the Clinical Genomics and Advanced Technology Lab. Maintains quality control/quality assurance as designated by the genomics Lead. Analyzes, reports, and troubleshoots data generated from clinical genomics technologies and assays such as but not limited to NGS, PCR, FISH, karyotyping, RFLP analysis.
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At Astera Labs, we are looking for motivated Post-Silicon Validation Engineers to work on our game-changing portfolio of connectivity products for Artificial Intelligence and Machine Learning applications.
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