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: Bachelor’s degree in Electrical Engineering, Computer Science, or a related field. Master’s or PhD in Electrical Engineering, Computer Science, or related discipline. Research or technical experience. Research
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duties as assigned. What we need: PhD or equivalent combination of education and experience. Six (6) years of related experience. What is helpful: Work experience with GMP Knowledge, Skills & Abilities
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combination of education and experience. Seven years of related experience. What is helpful: PhD in a related field along with real-world experience in the semiconductor industry. Master's degree in a related
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. Responsibilities: Development of AI/ML models for effective and computationally efficient property prediction and generative molecular design. Construction of an AI/ML-ready scientific data repository. Collaborate
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education, research, and public service. Job Description Purpose: The Engineer will perform research in the department of electrical and computer engineering, the NanoBio Systems Laboratory, a
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) Knowledge, Skills and Abilities: Strong capabilities in using materials testing and characterization instruments, applying engineering design software and data analysis tools, familiarity with computational
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Oaktrust. Lead formatting of & transfer of data. Primary contact for ensuring public availability within Turbo Lab guidelines. Responsible for other general upkeep/improvements to proceedings repository
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balance. Helpful Applicant Information Required Materials for Application: Resume/CV Three work references with their contact information; at least one reference should be from a supervisor/former
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://engineering.tamu.edu/information/esac/staff-development-opportunities.html Wellness program release time offered to employees to promote work/life balance. Helpful Applicant Information Required Materials
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, Texas A&M Engineering Experiment Station, Texas A&M Engineering Extension Service and the Texas A&M Transportation Institute. Responsibilities: Reviews and research information and transactions to detect