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Preference will be given to candidates with experience in patent prosecution related to electrical engineering, software-related technologies, data science/AI, networking technologies (especially network security), machine learning/artificial intelligence, and hardware security.
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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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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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Four-year Bachelor's degree or equivalent experience Criminal Justice, Sociology, Criminology, Police Science, Law, Philosophy, History, Art History, Humanities or related field. At least 1 year Law Enforcement, Adult Education/Police Instructor, Crime/Data Analytics, Justice Information Systems or Learning Management Systems.
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Minimum Qualifications 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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As a member of the Prospect Management and Research team, the Donor Relations and Prospect Research Manager will support frontline fundraisers in their efforts to raise philanthropic dollars for the advancement of the Perot Museum of Nature and Science.
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We are seeking a skilled Data Science Engineer who will be responsible for overseeing the maintenance and improvement of current machine learning implementations within our Revenue Cycle line of business.
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Bachelor's degree in Electrical Engineering (EE) or Electrical and Computer Engineering (ECE) Science, Technology, Engineering, or Mathematics (STEM) degree. Experience using schematic capture tools and interpreting schematics and/or performing advanced FPGA firmware development (VHDL or Verilog.
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We want Data Science, Machine Learning, Data Analyst, and Java Full Stack candidates. Bachelor's degree or Master's degree in Computer Science, Computer Engineering, Electrical Engineering, Information Systems, IT.
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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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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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Responsibilities:Enterprise Data Engineering Delivery:Oversee the design, development, and management of scalable and reliable data engineering solutions that support data products deployment for use in advanced analytics, data science, and AI initiatives.
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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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Master's degree in Computer Science, Computer Engineering, Technology, Information Systems (CIS/MIS), Engineering or related technical discipline, or equivalent experience/training. Bachelor's degree in Computer Science, Computer Engineering, Technology, Information Systems (CIS/MIS), Engineering or related technical discipline, or equivalent experience/training.
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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: administrator Company: Robert Half Technology in Dallas, TX
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