400 machine-learning-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:" Fellowship positions in United States
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students and collaborate on aquatic ecology field projects in southeast Alaska wilderness watersheds. Learning Objectives: Learn about bioenergetic food web models to quantify food web energy fluxes between
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immunology Experience with T cell engineering (CAR-T, TCR-T) and/or immunopeptidomics is preferred (but not required). At Dana-Farber Cancer Institute, we work every day to create an innovative, caring, and
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Center for Drug Evaluation and Research (CDER) | Silver Spring, Maryland | United States | 2 days ago
mentor, you will engage in cutting-edge research activities to learn how to develop and implement artificial intelligence-enabled systems for surveillance and inspection. Key activities will include
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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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information, marital status, domestic partner status, military or veteran status, national origin/ancestry, race, religion, creed, sex (including pregnancy, childbirth, breastfeeding), sexual orientation, and
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to join this development team as a fellow and learn to create, evaluate, and validate rapid, accurate, and sensitive diagnostic methods for detecting disease pathogens. The fellow will have an opportunity
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· Good problem-solving and time management skills, ability to design and conduct independent research, learn new techniques, knowledge of the literature, critical interpretation of data and clear data
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, focusing on gene editing and molecular breeding techniques. While flowering in sugarcane is an undesirable trait for Florida farmers, it plays a crucial role in crossing and breeding. Through this learning
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, religion, actual or perceived disability (including persons associated with such a person), arrest and/or conviction record, military or veteran status, sexual orientation, gender expression and/or identity
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Center for Devices and Radiological Health (CDRH) | Silver Spring, Maryland | United States | 2 days ago
data generated from medical device materials under different extraction conditions in conjunction with physics- based modeling to develop the web-based tool. Learning Objectives: As a postdoctoral fellow