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2. Here are the three most common resume templates for job ... - AOL

   www.aol.com/news/most-common-resume-templates...

   Here are a three common resume templates. Resumes are unique to everyone based on your experience, industry, and the job you’re applying for. Here are a three common resume templates.

3. Résumé - Wikipedia

   en.wikipedia.org/wiki/Résumé

   An example of a résumé with a common format with the name John Doe. A résumé or resume (or alternatively resumé), [a] [1] is a document created and used by a person to present their background, skills, and accomplishments. Résumés can be used for a variety of reasons, but most often are used to secure new jobs, whether in the same ...

4. Functional Resumes Should Be Renamed Dysfunctional Resumes - AOL

   www.aol.com/news/2010-09-02-functional-resumes.html

   The resume had absolutely no chronology; no company names, position titles, or dates of employment. It simply grouped work experience into categories with no reference to where this Functional ...

5. Functional diversity (organizational) - Wikipedia

   en.wikipedia.org/wiki/Functional_diversity...

   Functional diversity encapsulates the cognitive resource diversity theory, which is the idea that diversity of cognitive resources promotes creativity and innovation, problem solving capacity, and organizational flexibility. Functionally diverse teams “consist of individuals with a variety of educational and training backgrounds working ...

6. Functional capacity evaluation - Wikipedia

   en.wikipedia.org/wiki/Functional_capacity_evaluation

   A functional capacity evaluation (FCE) is a set of tests, practices and observations that are combined to determine the ability of the evaluated person to function in a variety of circumstances, most often employment, in an objective manner. Physicians change diagnoses based on FCEs. [1]

7. Applications of artificial intelligence - Wikipedia

   en.wikipedia.org/wiki/Applications_of_artificial...

   Moreover, many tasks may be carried out inadequately by artificial intelligence even if its algorithms were transparent, understood, bias-free, apparently effective, and goal-aligned and its trained data sufficiently large and cleansed – such as in cases were the underlying or available metrics, values or data are inappropriate.