104 Materials Science uni jobs at University of Texas MD Anderson Cancer Center in united-States in United States
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of Texas MD Anderson Cancer Center to provide equal employment opportunity without regard to race, color, religion, age, national origin, sex, gender, sexual orientation, gender identity/expression
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, educational reference materials, and study manuals. Manages the processes of submission, revision and approval of these documents. Manages the training process of new staff, orientation, on-boarding and
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is the policy of The University of Texas MD Anderson Cancer Center to provide equal employment opportunity without regard to race, color, religion, age, national origin, sex, gender, sexual orientation
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of the analyses including original data, with conclusions. Assists in gathering information for in depth medical knowledge of GI cancer biology, human immunology, molecular biology and bioinformatics for diverse
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of biologics and replenishes them as needed. Orders materials for research studies as needed. Assists assigned PI to ensure correct practice of laboratory safety as required under institutional guidelines
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MD Anderson's Cancer Biology department has a long history of being a leader in the field of basic and translational cancer biology research. The department emphasizes the training of students
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degree in Laboratory Science or Medical Laboratory Technology OR Bachelor's degree in a related science field OR successful completion of a National Accrediting Agency for Clinical Laboratory Science
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detailed records of experimental data and procedures. · Apply molecular biology skills to perform and supervise Next Generation Sequencing (NGS) sample and library intake and QC. Maintain detailed and well
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Scientist is to fully participate in cutting-edge science and applying analytical expertise and experience to plan, coordinate, design and carry out research project(s). We are seeking a highly motivated
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research data scientists on ML engineering best practices and responsible AI practices. They will engage with stakeholders to gather requirements, convey AI concepts understandably, incorporate feedback, and