353 machine-learning-"https:"-"https:"-"https:"-"https:"-"https:"-"Simons-Foundation" Fellowship positions in United States
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University of North Carolina at Charlotte | Charlotte, North Carolina | United States | about 1 month ago
& Computer Engineering Work Location EPIC Vacancy Open To All Candidates Position Designation Post Doc Employment Type Temporary - Part-time Hours per week 40 Work Schedule Pay Rate $48,000 - $53,000 Minimum
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computer programming. Learning to approach novel analytical problems with effective and appropriate solutions. Preparing briefings, technical reports, and manuscripts for publication in professional journals
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on understanding how tumor cells evade immune surveillance. The lab is particularly interested in: The regulation of natural killer (NK) cell development, function, and anti-tumor activity. CAR-NK cell therapy
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network engineering and angiogenesis 3). Applications of machine learning in cell and tissue engineering Candidates should have demonstrated publication records in cardiac and vascular engineering or
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, religion, sex, gender identity or expression, national origin, sexual orientation, genetic information, disability, age, ancestry, military service, protected veteran status, or other characteristics
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, sexual orientation, genetic information, disability, age, ancestry, military service, protected veteran status, or other characteristics protected by law. Pay Transparency Statement The hiring range is
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Medicine, and member of the City of Hope Comprehensive Cancer. The Perry laboratory uses structural biology approaches, together with small molecule and fragment-based drug discovery, computer-aided drug
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. Learning Objectives: The selected fellow in this project will have the opportunity to contribute and advance their knowledge and skills in wood products carbon related research that will involve maintaining
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native peoples, or peoples of African, Asian, or Hispanic descent. The fellowship includes the requirement to teach one course per year (ideally in the fall term), to participate in a fellowship program
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model systems and human patient-derived biospecimens (organoids and T cells). The candidate should have a strong background in immunology and/or tumor immunology. Experience with T cell engineering (CAR-T