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TRC is seeking an early career to mid-level Environmental/Civil Engineer or Environmental Scientist with 3 to 6 years of previous environmental/civil consulting experience to join our growing Engineering, Construction & Remediation team in Chicago, Illinois.
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The ideal candidate should have a strong background in software engineering, computer science, machine learning, natural language processing, and deep learning. We are seeking an experienced Python Developer with expertise in Natural Language Processing (NLP) and Deep Learning to join our Data Science team.
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Knowledge of the practical application of engineering science and technology, including the ability to relate various equipment to a technical design. We provide engineering services for green hydrogen production via electrolysis using solar, wind, hydro, and nuclear power sources and we support on-site usage in power generation, fuel cells, and fueling stations.
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With that, a Principal Engineer @ Advantage Solutions is a top-tier engineer a visionary leader and a hands-on builder with experience making high-level design choices, framing technical standards, and re-enforcing frameworks, patterns, and principles, including tools, software, and engineering execution standards.
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The lab routinely collaborates across disciplines, departments, and with investigators at other institutions including experts in the fields of health services research, implementation research, computer science, geriatrics, oncology, public health, social services administration, psychology, neuroscience, materials science, engineering and other medical and social science fields.
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Proficiency in survey methodology, statistical analysis, and data visualization techniques, with expertise in software tools such as SPSS, SAS, R, or STATA. Statistical Analysis and Interpretation: Lead the analysis and interpretation of survey data using advanced statistical techniques and software tools.
$160,000 - $284,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Establish clear communication channels and ensure understanding between engineering teams, architecture, data science, and product. You will: Team leadership: Lead software and data engineers, ensuring a collaborative and engaging environment to foster engineering excellence.
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Acquires and maintains a level of medical-scientific knowledge in endocrinology and/or rare disease involving clinical issues related to company's products; able to interpret and disseminate pertinent scientific/clinical data and evaluates current and new information as it applies to company's therapies.
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The Department of Mathematical Sciences offers undergraduate degrees in Actuarial Science, Data Science, Mathematical Sciences, and Mathematics & Computer Science, and offers graduate degrees in Pure Mathematics, Mathematics Education, Mathematics for Teaching, Applied Mathematics, and Applied Statistics.
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Minitab, SAS, Matlab, VBA – knowledge of optimization engines such as CPLEX or Gurobi is a plus)Proficiency in any data visualization software (e.g., Power BI, Tableau, Qlik, D3, Shiny)Theoretical or practical experience in mathematical optimization techniques ( e.g. linear and non-linear optimization, mixed integer programming, sensitivity analysis, constraint programming etc.
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They must hold a degree in Electrical Engineering, Computer Science, Artificial Intelligence, Data Science, Machine Learning, or Robotics. Bachelor's or higher degree in Electrical Engineering, Computer Science, Artificial Intelligence, Data Science, Machine Learning, or Robotics.
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Four Peaks Environmental Science & Data Solutions, LLC (Four Peaks) is a growing environmental science and engineering firm serving public and private entities nationwide. Master's degree or higher in environmental engineering, environmental science, or related field with strong academic background in aquatic chemistry, limnology, environmental fluid mechanics, or water quality modeling.
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Works independently to provide guidance and leadership to mid-level to senior level team or project members, with strict adherence to QA/QC.Proficiency with technical writing, office automation, discipline-specific design software (i.e., MicroStation, AutoCAD, Civil 3D, ArcGIS, InRoads, Geopak, GeoSlope, ANSYS, STADD, HEC-RAS, HEC-HMS), technology, math principles, predictive models, spreadsheets, and tools.
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BS or MS (or equivalent) degree in Computer Science, Engineering, Physics or Mathematics. Supervise/mentor associate level software developers. Software Engineer responsible of designing, building and testing Risk application interface for quantitative models.
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PhD in STEM field (Science, Technology, Engineering, or Mathematics) or non-STEM but AI-adjacent field plus 3 years of experience in data analytics. The Generative AI Systems (Genesis) team within Card Data Science builds state-of-art, generative AI-based solutions for dialogue, text summarization, reading comprehension, speech recognition, image/document processing as well as time-series sequencing modeling.
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software engineering mid level computer data science jobs Title: systems engineer in Chicago, IL
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