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MS or PhD in one of the following areas: Chemical Engineering, Electrochemistry, Electrical Engineering, Mechanical Engineering, Chemistry, and/or Physics. MS or PhD in one of the following areas: Chemical Engineering, Electrochemistry, Electrical Engineering, Mechanical Engineering, Chemistry, and/or Physics.
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Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch.
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As a Data Scientist at Capital One, you’ll be part of a team that’s leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives.
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Graduate Degree in statistics or biostatistics: either Masters degree with 1+ year relevant experience or PhD degree. Reynolds American is evolving at pace - truly like no other organization. Collaboration, diversity and teamwork underpin everything we do here at Reynolds American.
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PhD in “STEM” field (Science, Technology, Engineering, or Mathematics) plus 4 years of experience in data analytics. Currently has, or is in the process of obtaining a Bachelor’s Degree plus 7 years of experience in data analytics, or currently has, or is in the process of obtaining a Master’s Degree plus 5 years of experience in data analytics, or currently has, or is in the process of obtaining PhD plus 2 years of experience in data analytics, with an expectation that required degree will be obtained on or before the scheduled start date.
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Bachelors Degree plus 7 years of experience in data analytics, or Masters Degree plus 5 years of experience in data analytics, or PhD plus 2 years of experience in data analytics. You have hands-on experience developing data science solutions using open-source tools and cloud computing platforms.
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Background: MUST HAVE MASTERS or PHD, MUST HAVE FDA REGULATED BACKGROUND, must have Clustering Analysis, Signal Processing, deep statistical analysis. Must have a very strong data analysis background (Machine learning) Data Scientist.
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PhD in immunology, cell biology, or related biomedical science with 2+ years of industry experience. This will be a highly cross-functional role across Research and Operations, reporting directly to a Senior Research Scientist.
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PhD or Masters degree in Human Factors, Cognitive Systems Engineering, Interaction Design, or Cognitive Science (or a related field) PhD or Masters degree in Human Factors, Cognitive Systems Engineering, Interaction Design, or Cognitive Science (or a related field.
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Master's/PhD Degree in Data Science, Statistics, Mathematics, Computers Science, or Engineering. SQL, R, Python, Hadoop, SAS, SPSS, Scala, AWS. Bank Secrecy Act: Remains cognizant of and adheres to Navy Federal policies and procedures, and regulations pertaining to the Bank Secrecy Act.
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Our Client, an international law firm, seeking a PhD level scientist interested in pursuing a career in patent law to join our sophisticated Intellectual Property & Technology group, which focuses on the biotechnology/life science technologies.
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Jane Englebright, PhD, RN CENP, FAAN Senior Vice President and Chief Nursing Executive If you find this opportunity compelling, we encourage you to apply for our Medical Laboratory Scientist opening.
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Bachelor’s degree in Chemistry or Chemical Engineering with 5-7 years’ experience required; PhD in Chemistry or Chemical Engineering preferred. With our corporate R&D headquarters and Americas R&D regional hub located in the US, the Research, Development, & Innovaiton Scientist will be working in key research and discovery activities in our Metal Processing Fluids lead laboratory for region.
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Candidates with PhD in analytical chemistry or a relevant field with at least 1-2 years of directly relevant mass spectrometry experience. Scientist, Mass Spectrometry. Extensive experience developing mass spectrometry characterization methods, data collection, and data processing for biotherapeutics/proteins, including native, intact, and middle-down LC-MS, released glycans, and "bottom-up" peptide mapping (CID & ETD LC-MS/MS) techniques.
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PhD in Computer Science, Bioinformatics, Computational Biology, Engineering, or a related field. They will also be familiar with a range of existing industry-standard genomic bioinformatic techniques operated via command line and computational analysis of Next-Generation Sequencing (NGS) datasets to derive technical and biological insights.
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