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Conduct and analyze data from studies on liquid electrolytes, polymer electrolytes, ionic liquids, solid-state electrolytes, additives, and salts, and provide technical assessment of their potential application.
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US Army 68K Medical Laboratory Specialist, 71E Clinical Laboratory Scientist, US Navy Medical Laboratory Technician, US Air Force Medical Laboratory Technician 4T0X1 and Biomedical Laboratory Officer (43TX) and related medical specialties.
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Knowledge and experience with large scale protein purification, nucleic acid purification, and other chromatography application processes. Collaborate with internal stakeholders to prepare customer facing enablement tools including application notes, technical notes, presentations, assays, webinars, posters, publications, and presentations, etc.
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WSP is actively seeking a biologist/environmental scientist experienced in the preparation of U.S. Army Corps of Engineers Clean Water Act Section 404 and associated state permit applications. Experience performing wetland delineation efforts and preparing permit application materials.
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Ph. D. in chemistry, biochemistry, bioengineering, biology or related field or MS with a minimum of 3 additional years of experience focusing on the development and application of advanced bioanalytical techniques incorporating mass spectrometry or BS with 5 years of relevant industry experience.
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Job Title: Certified Phlebotomy Technician Job Summary: The Certified Phlebotomy Technician is responsible for performing phlebotomy, specimen processing, micro plating, and assisting the Clinical Laboratory Scientist (CLS) or Medical Laboratory Technician (MLT) in the laboratory.
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The Application Scientist will lead the justification, design, initial stages of commercialization, prototyping, and qualification for new products, installation methods, and systems, working in conjunction with the ShelterRite and XR-5 Product Management Teams.
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We develop scalable, intelligent, and trustworthy AIoT solutions to enable inspiring UX for Bosch products and services in application areas such as automated driving, advanced driver assistance systems (ADAS), robotics, smart manufacturing, enterprise AI, health care, smart home and building solutions.
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CompTIA Data+, Power BI Data Analyst, SAS Certified Data Scientist, Certified Analytics Professional, or other relevant professional designation or advanced degree. Advanced knowledge of information security and systems, application controls and emerging technology utilization including but not limited to artificial intelligence, machine learning, deep learning, advanced process automation, cloud and application program interfaces.
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To be considered for an Environmental Scientist I, you must have a bachelor’s degree in natural or physical science with emphasis in biology, chemistry, microbiology, environmental science, or closely related field.
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The Analytical Research and Development organization in Rahway, NJ is seeking a motivated Principal Scientist with technical expertise in solid state NMR. Experience with solution NMR is a plus.
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As a Senior Principal Scientist, you are expected to: ● Lead the application and development of digital pathology methods to extract disease biology insights and support innovative clinical development programs.
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Responsible for providing professional and scientific expertise in the application of data science disciplines for complex problems to include machine learning and deep learning algorithms, data wrangling, statistical analysis, visualizations, programing and computer science, distributed computing, cloud computing, data science ethics and/or other related scientific principles, methods, and techniques.
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Experience with sample management and tracking sample chain of custody records within a laboratory information management system (LIMS) or related application. Collaborate with sample management staff across bioanalytical testing labs and sites for cross-training, process improvements, and/or support of bioanalytical labs within the department.
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The URBS-lab focuses on the development and application of machine learning, artificial intelligence, and statistical methodologies targeting a variety of domains and data types within biomedical research.
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