678 assistant-professor-computer-science-data "https:" "https:" "https:" "https:" positions at Nature Careers in United States
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applicants to join us and experience what it means to be part of Mass General Brigham. The DeKosky Laboratory for Immune Engineering and Drug Discovery is hiring a researcher to advance computational drug
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multidisciplinary training environment with strengths across chemical and structural biology, quantitative cell biology, proteomics, computational biology, and drug design. Faculty research spans a broad range of
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software engineering, computer science, data science, bioengineering, bioinformatics, engineering, physics or related Experience in either machine learning or computational biology. Interest in both
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technique), microscopy, flow cytometry (FACS), and standard molecular biology procedures (PCR, cloning, etc.). Help maintain choanoflagellate cell lines and prepare media and stock solutions. Learn new
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-enabled products, platforms and services that help researchers to uncover new ideas and share their discoveries, health professionals to stay at the forefront of medical science, and educators to advance
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products, platforms and services that help researchers to uncover new ideas and share their discoveries, health professionals to stay at the forefront of medical science, and educators to advance learning
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of their harvest while using organic and regenerative practices. The Specialist will be part of the University of California, Santa Cruz Department of Electrical and Computer Engineering. The position will be based
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systems; setup and configuration of computers and printers in a networked environment; maintenance of hardware components and computer peripherals) preferred Knowledge of Video Conference & AV equipment
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, with disciplines ranging from bench research to translational and clinical research, genomics, informatics, and data science. As the leader of one of the most wide-ranging sections within the Department
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, in vitro models, and large collections of well-annotated clinical specimens. We employ state-of-the-art computational biology/bioinformatics approaches to dissect acute and adaptive responses to RAS