The position of Student Network Technician is an entry level position within the DoIT Physical Networks group. This position is designed to be a comprehensive training position in network engineering. As a training position, no network engineering experience is required. The basic duties of a Student Network Technician are as follows:

• Making, managing, and repairing network cabling.
• Activating and troubleshooting data connections.
• Installing data communications equipment.

• Server Administration
• Systems and Web Programming
• Cisco Router and Switch Configuration

a2z, Inc. has revolutionized the business of trade show promotion and event management while maintaining a fun and flexible work environment. Launched in 1998, a2z is now a recognized leader in the development of event management software used by over 500 show organizers worldwide to manage and market their trade shows and expos – including 50 of the Top-200 shows in the U.S.

Located in Columbia, MD, a2z offers powerful web-based software applications that help increase and accelerate exhibit booth sales. Our clients also realize improved productivity in back office processes; increased connectivity with their membership, integration with their CRM and financial databases; and improved productivity.

a2z’s IT Internship is an exciting long-term (preferably at least an academic year or longer), part-time (10-20 hours a week) position with an interesting mix of IT responsibilities and learning experiences.

General Qualifications You Should Possess:

• Undergrad with major in digital design, advertising or fine arts
• Good communication skills (oral and written)
• Self-driven to achieve goals; high energy level is essential, strong, dedicated work ethic
• Strong attention to detail
• Cooperative team attitude
• Experience designing web sites, applications and animations
• Good understanding of color theory and design concepts
• Must be authorized to work in the United States part-time for any employer

Technical Skills You’ll Need:

·       Must be proficient in writing web pages in HTML and CSS

·       Working knowledge of JS and Flash

·       Experience with graphic design software such as PhotoShop and Illustrator

·       Awareness of browser compatibility issues and testing

·       Awareness of web usability methodologies (desired but not absolutely required)

Responsibilities:

·       Visualizing web site interface design

·       Designing interactive web pages

·       Web site content management

In this position you’ll learn:

·       The technical aspects of managing digital design and visual communication.

 Do you think we would be a good fit for each other? Then we would like to hear from you!  Apply today!  Just e-mail your resume and a brief letter, telling us why you think this position is a perfect fit, to hr@a2zinc.net.

Genetic information for chronic disease prediction

Michael A. Grasso, MD, PhD
University of Maryland School of Medicine

1:00pm Friday 23 September 2011, 227 ITE

Type 2 diabetes and coronary artery disease are commonly occurring polygenic-multifactorial diseases, which are responsible for significant morbidity and mortality. The identification of people at risk for these conditions has historically been based on clinical factors alone. However, this resulted in prediction algorithms that are linked to symptomatic states, which have limited accuracy in asymptomatic individuals. Advances in genetics have raised the hope that genetic testing may aid in disease prediction, treatment, and prevention. Although intuitive, the addition of genetic information to increase the accuracy of disease prediction remains an unproven hypothesis. We present an overview of genetic issues involved in polygenic-multifactorial diseases, and summarize ongoing efforts use this information for disease prediction.

Michael Grasso is an Assistant Professor of Internal Medicine and Emergency Medicine at the University of Maryland School of Medicine, and an Assistant Research Professor of Computer Science at the University of Maryland Baltimore County. He earned a medical degree from the George Washington University and a PhD in Computer Science from the University of Maryland. He is a member of the Upsilon Pi Epsilon Honor Society in the Computing Sciences, the Kane-King-Dodec Medical Honor Society, and the William Beaumont Medical Research Honor Society. He completed a residency at the University of Maryland School of Medicine, and currently works in the Department of Emergency Medicine at the University of Maryland Medical Center. He has been awarded more than $1,200,000 in grant funding from the National Institutes of Health, the National Bureau of Standards and Technology, and the Department of Defense, and has authored more than 35 scholarly papers and abstracts. His research interests include clinical decision support systems, clinical data mining, clinical image processing, personalized medicine, software engineering, database engineering, and human factors. He is also a semi-professional trumpet player and is interested in the specific medical needs of performing artists, especially instrumental musicians.

Host: Yelena Yesha