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BS degree in Biology, Natural Resources, Environmental Science, Ecology or a related field. Experience preparing biological analysis and reports, habitat assessments, and permit applications (including 404/401/1600 permitting), conducting field surveys and reporting.
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Well-developed expertise with conducting NEPA / CEQA / other analysis and preparation of associated documentation. Bachelor's Degree in Environmental Science, Ecology, Natural Resource Management, or a related life sciences field.
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Engage in the creation of experiments, prototyping, and architectural design, contributing to a diverse range of computer science domains such as machine learning, data mining, natural language processing, and performance analysis.
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Here's what you'll need: Here's What You'll Need: BS degree in Biology, Natural Resources, Environmental Science, Ecology or a related field. Ideally, You'll Also Have: Experience preparing biological analysis and reports, habitat assessments, and permit applications (including 404/401/1600 permitting), conducting field surveys and reporting.
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Master’s or PhD degree (preferred) or Bachelor’s degree (considered) in fish or wildlife biology, ecology, natural resources management, or related discipline. Experience in data management and analysis, including basic statistical analysis using standard software (e.g., Excel, R, JMP.
$120,000 - $140,000 a yearExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Use machine learning, natural language processing, and graph analysis to solve modeling and ranking problems across dating, personalization, growth, discovery, ads and search. and one DL framework (Pytorch, Tensorflow, Keras) and one data analysis libraries (Pandas, R.
$180,000 - $280,000 a yearFull-timeExpandApply NowActive JobUpdated 3 months ago - UpvoteDownvoteShare Job
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Someone who is excited and motivated about the opportunity to help expand our environmental consulting business in California and the West. WSP’s California offices provide a broad range of services in engineering and environmental sciences including environmental assessment and remediation, water/wastewater engineering, water resources, environmental compliance, geotechnical design, stormwater infrastructure design, materials testing, and decision analysis.
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Working knowledge of current techniques and approaches in machine learning and natural language processing: text categorization, text summarization, information retrieval, question answering, sentiment analysis, semantic parsing, etc.
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Notable projects from our office include: Little Island Allegiant Stadium Las Vegas Space Needle Renovation Gilder Center at the American Museum of Natural History What we offer you Each year, Arup seeks out students from around the world for our summer internship program.
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Experience and deep understanding of a variety of machine learning techniques, including but not limited to, deep learning, tree-based models, reinforcement learning, clustering, time series, causal analysis, and natural language processing.
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Computer Science fundamentals in data structures, algorithm design and complexity analysis. Queer-Inclusive Benefits: Industry-leading gender-affirming offerings with up to 90% cost coverage, access to Included Health, monthly stipends for HRT, and more.
$160,000 - $220,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Knowledge of pattern recognition, machine learning, and/or natural language processing, clinical workflows, user interface optimization, data integration and mining, clinical ontologies and adoption of technologyDemonstrated proficiency relating to logical data design, data warehouse design, data integration, and data modelingExperience with interoperability standards such as Health Level Seven International (HL7) V2.
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Machine learning or deep learning algorithms, natural language processing techniques. + Experience with survey data analysis using Qualtrics tools. As a member of the COE Analytics Modeling Analysis team, you will generate business insights for Client Success Office to help Accenture to improve its processes, boost sales and maximize profitability.
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Additionally, This position requires strong programming (R, SQL, and/or Python) and/or informatics knowledge to support data analysis, database design, and data quality assurance and quality improvement projects.
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Are you passionate about working on large-scale Generative AI, Natural Language Processing (NLP), and Deep Learning? Experience working with data technologies that allow effective storage and analysis of large amounts of data (e.g., Spark, Presto, Hive, etc.
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natural analysis jobs in San Francisco, CA
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