546 data-"https:"-"https:"-"https:"-"https:"-"Simons-Foundation"-"Simons-Foundation" Fellowship positions in United States
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for combat trauma, directed energy exposure, extreme environmental exposure, and/or toxicant exposure. You will participate in and learn to perform data collection and analysis pertaining to testing toxicants
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, data science, civil engineering, or a related field, with research expertise in geospatial artificial intelligence, human dynamics, and/or urban informatics. Candidates will need to have completed
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, and contact information for 3 references to Dr. Rose Du (rdu@bwh.harvard.edu ) Brigham and Women’s Hospital is an Equal Opportunity Employer. All qualified applicants will receive consideration
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, including other Harvard Medical School-affiliated hospitals. The qualified candidate will analyze multi-omics liquid biopsy data for minimal residual disease (MRD) detection, quantification, and assessment
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institution systems may be submitted. Click here for detailed information about acceptable transcripts. A current resume/CV, including academic history, employment history, relevant experiences, and
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research projects in computer vision, machine learning, AI, and robotics. Projects may include physically-grounded AI guidance agents, modeling of multimodal data, and generative AI systems for situated
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an in depth knowledge of a specialized field, process, or discipline and may involve organizing and implementing complex research plans, the development of methods of research, testing and data collection
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Responsibilities Perform CAR T cell generation and functional assays under guidance of senior lab members Conduct flow cytometry–based immune phenotyping and cytokine analyses Analyze and interpret data from
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Center for Drug Evaluation and Research (CDER) | Southern Md Facility, Maryland | United States | 5 days ago
and become efficient in using various computing languages, such as R, C, and Python, to develop mechanistic models to simulate human pharmacology and utilize High Performance Computing for data analysis
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— enormous advances in global genome analysis coupled with unprecedented developments in interdisciplinary research have made the 21st century the Century of Biology. For more information about the department