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Experience developing and troubleshooting leukemia cell line, primary specimen, and animal models Demonstrated success in scientific writing, including manuscript and grant preparation Experience mentoring
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; dispose of biohazardous waste safely. Experimental Assistance: Helps develop and implement standard protocols, perform mammalian and/or bacterial cell culture, maintenance and transfections, execute
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funding to support their innovative research endeavors. Position Responsibilities Maintain cancer cells in a sterile BSL-2 environment, adhering to safety protocols Generate reporter-based stable cell lines
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54 MS students) degrees. The McGowan Institute for Regenerative Medicine (https://mirm-pitt.net/ ), Computational and Systems Biology (https://www.csb.pitt.edu/ ), the Vascular Medicine Institute
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AITHYRA GmbH - Research Institute for Biomedical Artificial Intelligence of the Austrian Academy of Sciences | Vienna, Virginia | United States | about 9 hours ago
/or life sciences to solve pressing biomedical needs and translate your findings to impact medical practice and improve healthcare? Are you excited to develop and apply cutting-edge machine learning
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mechanisms underlying the development of obesity and breast cancer. The project will investigate the molecular mechanisms underlying obesity/diabetes development and breast cancer progression using a
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Number req26728 Department Pharmacology and Toxicology Department Website Link https://www.pharmacy.arizona.edu/departments-directory/pharmacology-toxicology-department Medical Sub-Speciality Location
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mechanisms of human T cell development. The scientific approach to the project can be tailored to the applicant based on prior experience. Candidates with either a strong background in immunology or expertise
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Apply Now How to Apply Applications are being accepted through the MCareers website at https://careers.umich.edu/ . Submissions can only be accepted as one continuous PDF document. A cover letter
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will develop novel machine learning and artificial intelligence (ML/AI) methods for genomics data, especially: large-scale single-cell genomics data, high-definition spatial genomics, digital pathology