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PHD candidates in Engineering/ IT/Computer Engineering/Computer Science/Bioinformatics or related discipline with relevant with a minimum of 1 years of experience in software development and pipeline automation in the pharmaceutical and/or biotech industry.
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Work closely with all platform partners to ensure plans constantly push the envelope and include the latest and greatest ad tech and formats available for automotive. Bachelor's Degree in Advertising, Marketing, Communication, Computer Science or related field.
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The Senior Medical Science Liaison has the primary responsibility of building key opinion leader (KOL) partnerships by engaging in the exchange of scientific data and other medical and/or scientific information with external stakeholders (HCPs, researchers, professional organization leadership, patient advocacy groups, and formulary decision-makers) in the assigned Therapeutic Areas (TAs) -Respiratory (COPD/Asthma) across the aligned geography.
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The Medical Science Liaison (MSL) is responsible for identifying disease and product related medical needs in a defined geography. With a single vision as inspiring as "Transforming patients' lives through science ", every BMS employee plays an integral role in work that goes far beyond ordinary.
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Data science, machine learning, optimization models, Master's degree 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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Carlisle Weatherproofing Technologies (CWT) is a leading supplier of building envelope solutions that effectively drive energy efficiency and sustainability in commercial and residential applications.
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REQUIREMENTS:BS/BA degree in natural science field of study required. Working knowledge of sub-meter accuracy GPS technologies and map interpretation skills (e.g., NWI, USGS, aerial photography.
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Bachelor's degree (or foreign equivalent) in computer science, information technology, software engineering, or related field; plus 3 years of experience in job offered or SAP ABAP development.
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About Firehawk Aerospace: Firehawk is a cutting-edge propulsion company dedicated to enhancing national security through innovative solutions at the intersection of additive manufacturing and rocket science.
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Experience in quantitative methods for social science and specialist quantitative skills, including open source intelligence tools, data visualization, database management (SQL), Python, Tableau visualization or other data analysis toolsets.
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Experience with common data science tools such as Python, R, PyTorch, TensorFlow, Keras, NLTK, Spacy, or Neo4j, and a good understanding of modeling platforms such as Azure AutoML, SageMaker, DataBricks, DataRobot, and H2O.ai.
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Perform propulsion system, subsystem, and component verification and validation testing, focused on typical operational use cases as well as extreme edge cases of the operational envelope. Dallas Metro AreaAircraft Engineering Mechanical /Full Time Employee /On-siteJob Description: Are you a passionate, innovative, experienced Propulsion Engineer looking to help develop state-of-the-art AI and robotics products.
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Bachelor's degree in a relevant field such as Human-Computer Interaction, Computer Science, Psychology, Cognitive Science, Applied Statistics, or a related discipline. Demonstrated proficiency in using quantitative UX research tools and software, such as Qualtrics, Medallion, SurveyGizmo, UserTesting.com, and other analytics platforms.
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Electrical Engineering, Mathematics, Physics, Statistics, Engineering Science, Chemistry, Mechanical Engineering, Civil Engineering, Chemical Engineering, Business (IT Management) Computer Science, Computer Engineering, Software Engineering, Information Technology, Information Systems, Computer Information Systems, Management Information Systems, Cybersecurity, Network Administration, Information Assurance, Data Analytics, Cloud Administration.
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Job Qualifications:Master’s Degree or higher in machine learning, science, math, statistics, engineering field, or equivalent work experience. Experience in Deep Learning techniques, e.g. Transformers, LLM, VLM, vision transformers, transfer learning, LORA, PEFT, CNN, or NLP.Experience using python and/or C/ C.
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envelope science jobs in Dallas, TX
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