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My client is a cutting-edge autonomous vehicle robotics start-up dedicated to revolutionizing transportation through advanced technology. Strong understanding of mechanical principles, materials science, and manufacturing processes.
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Ensure the integration of cutting-edge data science techniques and technologies into the drug discovery workflow. Ph. D. in Data Science, Computer Science, Bioinformatics, Computational Biology, or a related field.
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Alternatively, the employer will accept a Master’s degree in Finance, Computer Science, Engineering Management, or other related field plus three (3) years of experience in the job offered or three (3) years as a Senior Application Support Engineer, Data Analyst, or a related occupation.
$169,104 - $199,104 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Conducts and streamlines quantitative research on signals and factors that predict future stock returns, using data science techniques - large dataset manipulation, Web scraping, natural language processing, and econometrics and statistical techniques.
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As a Sr. Product Manager – EMSyou willbe responsible for driving the strategy, development, and delivery of cutting-edge Energy Management System (EMS) solutions for standalone battery energy storage and hybrid solar+storagesystems, with an emphasis on large, front-of-the-meter,utility-scale applications.
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By your actions, improve data quality and outcome for the data engineering, analytics and data science users and producers of data. Bachelor's degree in Computer Science with focus on data engineering preferable.
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5+ years of experience providing research and/or data support in business, finance, economics, and/or other social science research environments required. Are you excited by the idea of joining an organization supporting cutting edge business research in an academic setting.
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Faculty may interact with the Broad Institute of MIT and Harvard to develop collaborations using cutting-edge technologies in genetics, genomics, and single-cell biology. The Department of Cancer Immunology and Virology focuses on cutting-edge research on the role of the immune system in cancer, including the development of novel therapeutics.
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As a Signal Processing Engineer, focused on Deep Learning, you will be part of a cross-functional team composed of Signal Processing, WHOOP Labs, Firmware, and Data Science. Design and implement deep-learning (DL) and machine-learning (ML) models to extract valuable insights from large repositories of time-series/biosensor data.
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Preferred Area of Experience: Microsoft 365, Power Platform (PowerApps, Power Automate, Power Pages, Dataverse, Power Virtual Agents/Microsoft CoPilot), Fabric (Power Bi, OneLake, Factory, Synapse Data Warehouse, Synapse Data Engineering, Synapse Real-Time Analytics), SharePoint, Windows Server, Azure, DevOps, CI/CD Pipelines.
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We are seeking a Data Science Associate to join the Digital Asset Management business and report directly to the VP, Data Science. Inclusively is partnering with a multinational financial services company to hire a Data Science Associate.
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Collaborate with CRO and academic partners; employ cutting-edge in vitro and in vivo animal and human models to advance drug discovery and development programs up to and including IND filing.
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Analyze large genomic and epigenomic datasets using cutting-edge computational biology methods to identify genomic alterations and biomarkers associated with cancer onset and progression and to craft novel tools to detect those patterns.
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In this role, you will collaborate with researchers to develop machine learning methods for computational biology and drive the implementation and testing of novel research ideas using cutting-edge deep learning techniques.
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The BIDMC Department of Pathology has launchednew strategic initiatives in cutting-edge Precision Diagnostics (includingcancer genomics, multiplex biomarker theranostics, and computational/digital pathology.
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data science cutting edge jobs Title: developer in Boston, Wailuku, Hawaii
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