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We also offer Master's degree programs in Computer Science, in Bioinformatics, in Data Science (jointly with Dept. of Math/Stat), and in Computational Linguistics (jointly with LLD, expected to begin in Fall 2024.
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As an Analyst with Kimley-Horn, you will benefit from hands-on experience, technical software and consulting trainings, and developmental programs geared towards growing Kimley-Horn's future leaders.
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We take pride in how our employee retention, robust benefits package, and company values have led to Kimley-Horn’s placement on the Fortune “100 Best Companies to Work” list for 17 years! Kimley-Horn is looking for Planning graduates to join our San Jose, CA office focusing on Transportation.
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The Beer Sales Representative works alongside distributor partners and local supplier distributor manager to ensure the successful sale, volume growth, distribution, brand presence and positioning of the supplier's portfolio, working within a set list of priority On premise and Off premise accounts throughout the assigned territory.
$70,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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You will have direct customer engagement and will be involved with discussing technical roadmaps, hence a strong understanding of the design process is required and a background in hands on Analog and/or RF IC Design is highly valuable.
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Strong hands-on experience in verification methodologies such as UVM. Hands on knowledge of NAND flash memory, PCIe, NVMe and DDR a plus. BS in either Computer science or Electrical engineering; MS is preferred.
$260,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Awesome opportunities to volunteer through Mars Volunteer Program, like volunteering at coral reef cleanups or on research vessels! Increased sign-on offerings and relocation support available.
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Bachelors of Science in either Engineering, Industrial Engineering, Materials Engineering, Chemical Engineering, Data Analysis or Statistics, Chemistry or Physics. Depending on your role and your performance, you may be eligible to participate in our annual Long-Term Incentive (LTI) program, which consists of restricted stock units (RSUs) or cash equivalents, pursuant to the terms of the LTI plan.
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San Francisco, California (Hybrid On-Site): $213,400 - $243,500 for Lead Machine Learning Engineer. New York City (Hybrid On-Site): $201,400 - $229,900 for Lead Machine Learning Engineer.
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Extensive hands-on experience in AFM or bonding is a plus. Ph. D. degree, or master’s degree with equivalent lab or industry experience (3+ years), in materials science, mechanical engineering, physics, chemistry or closely related field.
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Using a combination of direct management and hands-on delivery, you will craft solutions for clients, guide and oversee the quality of your team's deliverables and recommendations, as well as manage day-to-day stakeholder relationships.
$241,000 a yearFull-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Hands-on experience with SQL database design Great numerical and analytical skills Data engineering certification. Previous experience as a data engineer or in a similar role Strong and hands-on Knowledge of programming languages (e.g. Java and Python.
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As part of the data science internship program, you will directly impact the product by developing new methods using cutting edge techniques to detect malicious and anomalous behaviors on the network.
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Position Overview: We are seeking a motivated and skilled Semiconductor Process Equipment Technician with 2-3 years of hands-on experience in semiconductor equipment maintenance, specifically in Physical Vapor Deposition (PVD) or semiconductor vacuum equipment.
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Hands-on experience supporting and building new functionality in Blue Yonder – Enterprise Supply Planning (BY-ESP) module. Work closely with business users to learn about supply chain, understand Supply Chain demand and supply priorities, and collaborate on solutions design in Blue Yonder -Enterprise Supply Planning (BY-ESP) Footprint.
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science hands on jobs Title: senior data scientist in San Jose, Maumelle, Arkansas
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