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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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Job Description: Lead a highly motivated hybrid-remote team tackling diverse AI projects ranging from traditional machine learning to cutting-edge imagery and LLM. Take ownership over your work, embrace continuous learning, and above all, find joy in what you do.
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Bachelor’s or Master’s degree in wildlife biology, rangeland ecology, environmental science, forestry, botany, soil science, or a closely related natural resource field. Join a team that has the environment down to a science.
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Civil Engineering (especially Structural emphasis or interest), Chemical Engineering, Computer Engineering/Science, Cybersecurity, Electrical Engineering, Industrial Engineering, Materials Science, Mechanical Engineering, Manufacturing Engineering, Mathematics, Physics, Software Engineering, Structural Engineering, Quality Engineering, Industrial Engineering Technical, Industrial Management, Operations Research, Engineering Mechanics.
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OR You may substitute education for specialized experience as follows: One (1) academic year of graduate education in a field of study such as business administration (e.g., finance, accounting, auditing, marketing, and business law), law, economics, criminology, political science, government, public administration, or another related field.
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The Medical Science Liaison (MSL) is responsible for identifying disease and product related medical needs in a defined geography. US Field Medical, Medical Science Liaison - Cardiovascular.
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Qualifications: Bachelor’s or Master’s degree in Analytics/ Data science (or) any Math/Statistics/Quant background, or Bachelor’s degree in Information Technology or Computer Science with proven experience in data engineering/ business intelligence tools especially strong understanding of database concepts and data modeling.
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Ph. D. in Chemistry, Biophysics, Physics, Biology, Computer Science, or a related field, with a strong emphasis on machine learning and computational modeling. We are seeking a highly motivated and talented Postdoctoral Research Fellow to join the Tao research group in the Theoretical and Computational Chemistry program at Southern Methodist University.
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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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Embark on a leadership role within the Blue Yonder Data Science and Machine Learning team as a Staff Data Scientist, steering our machine learning platform that processes real-time data and powers deep learning models, generating billions of predictions daily.
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Associate’s degree in Forestry or a related field (horticulture, urban forestry, environmental science, etc.) 1 or more years of experience in utility vegetation management or a similar industry (tree care, landscape professional, etc.
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Taxation, Accounting, Finance, Quantitative Finance, Real Estate, Hospitality, Business Analytics, Computer and Information Science, Computer Engineering, Computer Systems Analysis, Information Technology, Management Information Systems.
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Direct the development, implementation and coordination of policies and programs covering music programs for instrumental, choral, and general music, visual arts, theatre arts, and dance, physical education, health, world languages, and computer science that will provide a balanced and enriching program throughout the district.
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The Director of Data Science will lead a team of highly talented and innovative data scientist in support of developing cutting edge data and analytics products to support decision sciences across all retail functions and brands.
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In-depth knowledge of materials science, structural mechanics, and aerodynamics. Work closely with multidisciplinary teams, including aerodynamics, materials science, and manufacturing, to ensure cohesive and efficient designs.
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science job Title: managed in Dallas, TX
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