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Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch) Primary Location.
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The successful candidate will be responsible for the design, execution, and interpretation of mid/high throughput in vitro/ex vivo assays and mechanistic experimentation to advance early drug discovery projects from target concept through lead optimization.
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The Enterprise Information Services (EIS) team at Cedars-Sinai understands that true clinical transformation and the optimization of a clinical information systems implementation is fueled through the alignment of the right people, processes, and technologies.
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We have an exciting opportunity for an experienced scientific leader and medicinal chemist to join our Small-Molecule Drug Discovery Chemistry Department at Genentech in South San Francisco, CA. The successful candidate will be responsible for leading drug discovery project teams through various stages of target identification, hit-finding enablement, hit-to-lead, and lead optimization in a multi-disciplinary, team-based culture.
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Experience with topics related to big data engineering such as data streaming, pipeline optimization, deployment, and data security. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark, Delta Lake and MLflow.
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We combine expertise across multiple fields: high-performance scientific computing, physics-based modeling and simulation, data science, machine learning, applied mathematics, optimization, statistics, decision support, data analysis and visualization, computer systems architecture, quantum computing, neuromorphic computing, human-technology connections, and others.
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The Senior SCADA Network Administrator is responsible for the design, installation, configuration, optimization, administration, maintenance, cybersecurity protection and continuous 24/7 operation of the IRWD Industrial Control System / Supervisory control and data acquisition (ICS/SCADA) system.
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HPC code debugging, porting, profiling and optimization (code scaling or performance analysis) including the use of NVIDIA performance tools for optimizing and understanding performance on GPUs.
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Sr. Search Engine Optimization (SEO) Specialist, Homes.com. Basic Qualifications Bachelors degree from an accredited, not-for-profit University or College 5+ years of experience in Search Engine Optimization roles Strong verbal and written communication skills Must be metrics driven, with the ability to create reports to track and analyze SEO performance.
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Architect, design and deliver robust implementable solutions for complex supply chain requirements using SAP IBP Supply response, Demand Planning, APO SNP Optimization and CTM Techniques. Good hands-on experience with SAP IBP Supply response, SAP APO SNP optimization, or CTM modeling for solving Supply Chain problems.
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Perform simulation (RF circuit simulation, 3D EM simulation, and thermal simulation), factory bring up, lab bench debug, performance tuning and optimization, and validation of RF modules/SIPs. Experience using circuit, EM, and thermal simulation tools such as Ansys HFSS, Keysight ADS/Momentum, Cadence Allegro, Cadence Virtuoso, Ansys Icepak, Flotherm.
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Oversee the scalable development and optimization of next-generation sequencing (NGS) data analysis pipelines. B.S. or M.S. in computer science, bioinformatics, computational biology, genomics, or a related field with 7 years of industry experience or Ph. D. with 3 years of experience.
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Analysis and optimization of the motor design using FEA for thermal modeling, acoustics and vibration. Continuously evaluate new technologies and design improvements to develop the most power dense, efficient and reliable electric motor through optimization.
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Preferred experience: Exposure or experience with smart cameras or machine vision, experience with microscopes, and/or lens selection for machine vision, proficiency in motion systems (G-code/CAM), Six Sigma Black/Green Belt certified, and experience with laser process optimization.
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Data Scientist, Algorithms- Fulfillment Optimization. We’re looking for a passionate Data Scientist to take one of the most interesting and strategically important problems across Rideshare. Research Scientist in ML / NLP (All Ranks.
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