Sentence examples for efficient academics from inspiring English sources

For faculty development, the factors like fellowships and travel grants, centers of health professional education, recognition and rewards to the efficient academics, should be taken into consideration to encourage specialization in education [ 13].

As the piece notes:Even as financial engineers were designing all sorts of clever products on the assumption that markets were efficient, academic economists were focusing more on how markets fall short.

At that point the capital buffer implied by VAR turns out to be woefully inadequate.Even as financial engineers were designing all sorts of clever products on the assumption that markets were efficient, academic economists were focusing more on how markets fall short.

No company is more elegant in presentation, and the level of technique is exceptionally efficient in academic terms.

Email is perceived as more efficient when solving academic issues (Vrocharidou & Efthymiou, 2012); therefore, it is used more often (Dahlstrom et al., 2013).

This paper reviews some of the ideas in the literature for improving the efficiency and efficacy of the assessment practices and proposes what might be considered a relatively radical approach which is far more efficient, for the academic, in general.

In this essential account, Fox zeroes in on the academics whose efficient-market theories enabled abuses.

Griffiths, a mathematician, recognized that the most efficient way to buy academic cachet for Duke was through the recruitment of high-profile stars in the humanities.

Higher education organisations which train people in the above professions must receive government support including extra free places for students, efficient mechanisms to promote academic mobility of students and researchers, and recruiting recognised foreign experts to get access to cutting-edge technologies and the most advanced R&D results in the ICT area.

This blended learning model is cost efficient while driving strong academic results.

To cope with these new challenges and to facilitate efficient data analyses, numerous academic and commercial software packages and databases have been developed [ 2- 5].