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Experience in U.S. electricity markets, wind farm operations, production-based availability, performance loss calculations, and high frequency timeseries data. Master’s degree (or foreign equivalent) in engineering, computer science, mathematics, statistics, or related technical field; plus 3 years of experience in job offered or asset operations analysis in renewable energy industry.
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Using data science and machine learning analytics, the contractor will develop models and insights to. Familiarity and/or willing to learn deep learning capabilities leveraging Tensorflow/Torch.
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Conduct field investigations of existing building energy systems o Identify and develop opportunities for energy- or carbon-reducing capital projects, such as upgrades to HVAC systems, energy efficiency measures, and replacement of fossil fuel based systems with all-electric based systems.
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4+ years of industry experience building data pipelines or machine learning pipelines from the ground up for bioscience data, or having developed equivalent technical proficiency in an academic setting.
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The EADA I will support the continued development and maintenance of EOHLC’s implementation of Efforts to Outcomes (ETO) software and any other data systems used to determine program eligibility, track shelter placements, and conduct case management, rehouse residents, and administer post-shelter stabilization.
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Basic Qualifications: PhD. with 5+ years of experience in protein engineering, synthetic biology, molecular biology, biochemistry, or a related field. Learn more about Flagship at Position Summary: Metaphore is seeking a creative, resourceful, and highly collaborative multidisciplinary Senior Scientist to join our dynamic Platform Discovery and Engineering team.
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Anduril’s family of systems is powered by Lattice OS, an AI-powered operating system that turns thousands of data streams into a realtime, 3D command and control center. Neurodivergence, for example, attention-deficit/hyperactivity disorder (ADHD), autism spectrum disorder, dyslexia, dyspraxia, other learning disabilities.
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Ensure a Data Steward is assigned, and that Data Governance and Data Privacy guidelines are completed by the team when data is involved. We provide investment servicing, data & analytics, investment research & trading and investment management to institutional clients.
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EDUCATION: Bachelor’s degree in marine engineering, Civil Engineering or Mechanical Engineering or equivalent experience. EXPERIENCE: 5-8 years of related offshore or marine engineering experience, of which at least 2 are in a supervisory capacity.
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We’re looking for a savvy developer to join our passionate engineering team as a Principal Software Engineer and help us scale and grow our cloud-based systems and technologies with a keen eye towards software quality and operational excellence.
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This candidate should have experience in at least one area of deep learning but have familiarity with a broad array of techniques, such as data pipeline development, metabolic engineering, or protein engineering.
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You have experience with software systems engineering. Thousands of organizations worldwide, including Barclays, Cisco, eBay, Fairfax, ING, Goldman Sachs, Microsoft, The Mayo Clinic, NASA, The New York Times, Wikipedia, and Verizon, use Elastic to power mission-critical systems.
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The successful candidate should be a self-starter who can perform wetland and other natural resources surveys, environmental permitting, and natural resources planning activities for a variety of projects including Transportation, Energy, Water/Wastewater and Stormwater Infrastructure Construction.
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Deep expertise in statistical and machine learning methods for go-to-market attribution and hands-on experience with building end-to-end attribution systems that may include Marketing Mix Modeling (MMM) algorithmic multi-touch attribution (MTA.
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We seek individuals who embrace opportunities to work collaboratively and contribute to one or more of the School of Engineering's (SOE) strategic research areas: Human Health and Bioengineering; Human-Technology Interface; Energy, Water and the Environment; Intelligent Systems; Learning Science.
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