![]() As the stream of new medical technologies arrive, trained professionals will be called on to step into those areas as well. Other helpful Web sites include Health Professions Network, which features different allied health professions, and Health Care Workforce, which has a long list of links to other job-listing sites in the field. The American Medical Association’s annual Health Professions Career and Education Directory is a good resource for job seekers. Other positions include: registered nurses, mental health counselors, social workers, physical therapists, physician assistants, dental hygienists, and fitness trainers and nutritionists. While my friend Carol was visiting her Uncle Bob in a New Jersey “assisted living” home this week, an instructor was leading a class in tap dancing for a group of elderly women. You don’t have to be a surgeon or ICU nurse:there are hundreds of areas of specialization, such as music therapists for Alzheimer’s patients, and occupational therapists for the elderly. It lists a variety of home and personal care health care jobs as fast-growing occupations. Projections from The Department of Labor’s Occupational Outlook Handbook forecast 3.2 million new jobs within existing health care job classifications between 20. Despite the tight job market, health-related jobs in hospitals clinics nursing and residential care facilities and home-centered services are growing. Where are these jobs?There’s clearly high demand for health care workers across a wide gamut. Professional certifications, however, are becoming increasingly accepted by employers and clients in many arenas, which is great for 50+ workers–faster and cheaper. True, some of the positions do require a full-degree program, say, an Associates of Applied Sciences degree in gerontology. To get in, though, you might need to bolster your résumé with new skills, preferably added while continuing to work full-time in your first career. This demographic shift is already creating a wave of new fields and opportunities for workers of all ages. And the number of those 85 and older is expected to more than double to about 5% of this country’s population. If you’re interested, you’ll have to do the vetting.īy 2050, according to Pew Research Projections, about one-in-five Americans will be over age 65, up from some 39 million Americans, or 13% of the U.S. The job site,, lists dozens of franchise opportunities that cater specifically to the aging population. “We have items for boomers who might have an aching back and for their parents.”īingo–a small business that caters to an aging population. “These products make everyday activities such as gardening, cooking, travel, golf, exercise and just plain gettin’ around a little easier,” Tina says. Puzzles and pruners.I’m talking everything from pill organizers to large print crossword puzzle books to ramps and rose pruners. The shop sells literally thousands of items that promote healthy and active aging. In Warrenton, Virginia, Terry and Tina Ross, both in their mid-50s, run a shop called Simple Comforts that sells a panoply of products that cater to seniors. But that creates opportunities for baby boomers looking for a second career.Ĭareers in aging are not the next big thing. Panoply actually was immensely helpful in knowing the data structure of the variable type for which I followed a much more complex procedure in the past before I used Panoply.By: Kerry Hannon, Personal Finance Contributor, Sept. Sometimes, It did take a little long to load it if the netcdf file I was working with was a large file but it was not a big deal. I did not come across any problem in particular for the 2+ years I have used Panoply. It gave me the basic structure that includes the number of data points, latitudes and longitudes of the data points and other essential details I needed. All I had to do was upload the netcdf data file directly into panoply and boom. Matlab was more powerful with the actual analysis but not with the pre processing. However, I wanted to exclude Fortran and have a more convenient way of knowing the basic data structure. For this I have used a combination of F77 and Matlab in the past. ![]() ![]() Before I could write a code in Matlab to analyze the data, I needed to know the data structure. ![]() I was trying to analyze a bunch of climate variables that were in netcdf format. I was introduced to Panoply by a colleague. ![]() This is a great tool to have for such data structure. I am working with Geographical data that has latitudes, longitudes and a variable I am trying to analyze. ![]()
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