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Bioinformatics school training courses in Atlanta, GA (public, in-house or online) | ||||
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Bioinformatics School: Georgia Institute of Technology Venue: Atlanta Tel.: 404.894.2000 This is a three-semester-focused professional master’s degree program combining 37 semester hours of courses in computer science, advanced molecular biology and biochemistry, statistics, and bioinformatics. A full-time summer internship in a corporate or academic bioinformatics group is an essential part of the curriculum. With input and assistance from corporate partners, the program is geared to training and placing graduates into lucrative jobs in the high-demand specialty field of bioin... |
Bioinformatics Format: Online School: Johns Hopkins University, Whiting School of Engineering Venue: Baltimore Tel.: 410-516-4050 EP’s Bioinformatics program combines the strengths of the Zanvyl Krieger School of Arts and Sciences’ Advanced Academic Programs (AAP) and the Whiting School of Engineering’s EP to produce graduates who can excel in the field. Expert faculty from both schools prepare students for careers in bioinformatics/computational biology within industry and government organizations. One of the most comprehensive bioinformatics master’s programs available anywhere, the program gives stud... |
Bioinformatics Format: Online School: Brandeis University Rabb School of Continuing Studies Venue: Waltham Tel.: 781.736.8787 The explosion of biological data is revolutionizing approaches towards the discovery of the molecular basis of disease. These discoveries are accelerating the development of novel drugs. Broadly-trained scientists with a strong molecular biology background and a comprehensive knowledge of software development are in critical demand. The Graduate Certificate in Bioinformatics is appropriate for students with a life or computer science background. |
Science in Bioinformatics Format: On-site School: Brandeis University Rabb School of Continuing Studies Venue: Waltham Tel.: 781.736.8787 Bioinformatics is the revolutionary merger between computer science and biology. Its techniques are used to analyze the vast amounts of experimental data emerging from genome sequencing efforts, proteomics, gene expression chips, and other data rich experiments. Such analyses will result in the creation of better, more specific drugs on a faster time scale, ultimately improving health and well-being for all of us. 
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