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Bachelor's Degree and equivalent work experience in Science (e.g. Biology, Chemical Engineering, etc), Food Science, Nutrition, Pharmaceutical Science or related field. Lead technical team to scout for future opportunities in the areas of food science and dietary supplement manufacturing, new product trends, flavor/sensory trends resulting in new products and improvements to existing products.
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Become an internally and externally recognized NLP/LLM/GenAI expert in company wide digital transformation. Hands-on experience of working with NLP/LLM/GenAI of more than 2 (PhD) to 4 (MS) years.
$123,250 - $166,750 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Preferred skills: NLP, Text mining, Tableau, PowerBI, Databricks, Tensorflow. We want Data Science/Machine learning/Data Analyst and Java Full stack candidates. Bachelors degree or Masters degree in Computer Science, Computer Engineering, Electrical Engineering, Information Systems, IT.
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MS in Robotics, Computer Science, Software Engineering, Mechatronics, Electrical Engineering, Mathematics, or Physics. Strong engineering background from industry or school, ideally in areas/fields such as Robotics, Computer Science, Software Engineering, Mechatronics, Electrical Engineering, Mathematics, or Physics.
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Degree in Health Sciences (Kinesiology, Human Kinetics, Exercise Science, We are looking for an Injury Prevention Specialist to. Degree in Health Sciences (Kinesiology, Human Kinetics, Exercise Science.
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We are on the hunt for a seasoned Python backend software engineer with specialized experience in developing scalable cloud services, and maintaining machine learning operations with a focus on Natural Language Processing (NLP) and/or Computer Vision.
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Ph. D. in organic, inorganic, polymer chemistry, material science, or chemical engineering with 0-5 years industrial experience, or MS with 8-15 years of experience demonstrated technical judgment/accomplishments is required.
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You will work on advanced machine learning, natural language processing (NLP), and computer vision solutions to drive innovation and efficiency in our projects. Proficiency in natural language processing (NLP.
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Bachelor's degree in Human-Computer Interaction (HCI) or Human-Factors, or related field (e.g. Business & Market Research; Cognitive Science; Educational Technology; Informatics; Library Sciences; Social Sciences.
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BS in Robotics, Computer Science, Mechatronics, Electrical Engineering, Mechanical Engineering, or related field. Master's or PhD degree in Aerospace Engineering, Electrical Engineering, Computer Science, Robotics or a related field.
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Experience with sensor calibration, sensor fusion, state estimation, and SLAM (Simultaneous Localization and Mapping) techniques. Design, develop, integrate and test inertial navigation systems (INS), GNSS products, visual navigation, and other related technologies for autonomous military vehicles (UAS, spacecraft, missiles, ground vehicles, underwater vehicles etc.
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Bachelor’s degree from a college or university accredited by the U.S. Department of Education, with major coursework in biology, chemistry, microbiology, environmental science, marine biology, statistics, and/or quality assurance, or a related field.
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Master's degree from an accredited institution in social science. Activities and connections include a partnership with USC's Center for Urban Education; student and employee involvement in organizations like Puente, Student Veterans, and Gay Lesbian Alternative Straight Alliance (GLASA); a robust District Ally training program, including UndocuAlly (undocumented students), SafeZone (LGBTQ), Vet Net (veterans), and Ability Ally; and other equity minded programs; as well as a full calendar of culturally responsive events throughout the district.
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Its 195,000 employees enable the company to operate at the edge of known science as they imagine and deliver solutions that push the boundaries in quantum physics, electric propulsion, directed energy, hypersonics, avionics and cybersecurity.
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Priority consideration will be provided to those with a specialty in the following areas: Advanced and Additive Manufacturing; Advanced Materials Characterization; Biomaterials, Bioinspired and Self-Assembled Materials; Energy Materials and Sustainability; Materials for Structural Applications and Extreme Environments; Modeling, Theory and Computational Approaches to Materials Science and Engineering; Nanoscale and Functional Materials.
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