Sentence examples for sciences cluster from inspiring English sources
None of Long Island's experiments in the development of a life sciences cluster, aside from Broad Hollow, have taken off as yet, said Joseph Scaduto, the executive director of the Long Island Life Sciences Initiative, which is a regional alliance of biotech and related businesses.
Everyone I spoke with agreed that the region's excellent public transportation system is one of the reasons for the rapid development of the life sciences cluster there.
Moody points out that philosophy is a surprising exception to this rule, lying closer to the natural sciences cluster than to the humanities cluster.
Commenting on his appointment, Philip Yeo, chair of the S*BIO board of directors, said, "[Runnels's] appointment will be a great asset not only to S*BIO but also Singapore's biomedical sciences cluster.
Tall and lanky, worldly and sophisticated, André Domin is CEO of the Technology Park, an international biotechnology and life sciences cluster based in Heidelberg, Germany.
The city is home to a number of technology companies and is a hub for biotechnology, with the Milken Institute rating Boston as the top life sciences cluster in the country.
Doherty said Astra was "very excited about the potential of this initiative and the prospects for a dynamic science cluster in the north west".
There are four groups of respondent, group A were UiTM students from Science and Technology cluster, group B were UiTM students from Social Science cluster, group C were non-UiTM students from Science and Technology cluster and group D were non-UiTM students from Social Science cluster.
As a result, interest in the life science cluster is intense in most industrialized and newly industrialized nations.
New York, London and regional centres were the beneficiaries.Smokestacks and ivory towersIn Pittsburgh and Baltimore grand research universities provided both the economic diversity and the skills base to launch new technological and life-science clusters.
(Subject to final changes). We'll spend the first three weeks introducing the big pillars of data science (clustering, classification and regression as predictive/descriptive tasks) from the perspective of designing and evaluating experiments, and then dive more deeply into the different models that comprise them.
