Sentence examples for interested in methods to from inspiring English sources

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Essential reading for anyone interested in Methods to Shape the Future, World Futures, Security, Sustainability, and science/technology in general... a stimulating and timely book.

We were particularly interested in methods to increase engagement of young cohort members, including but not restricted to opportunities to contribute to research planning.

Especially, we are interested in methods to identify JavaScript programmers, which can be used to reveal the offender who produced malicious software on a website.

For the present work, we are interested in methods to reconstruct parsimonious inversion histories and, in particular, to sample from the uniform or other prescribed distribution of possible parsimonious inversion histories.

Similar(56)

The tomato paste processing industry is very interested in developing methods to detect tomato spoilage in 1000-L non-ferrous, metal-lined containers without violating the seal.

He is interested in computational methods to better understand how living systems respond to chemical agents.

He is particularly interested in novel methods to test the properties of dark matter at the LHC and beyond, as well as the theoretical structures and experimental signatures of supersymmetry.

I am interested in developing methods to elucidate the complex inter-relationship between cardiovascular diseases and sleep disorders, and to identify novel targets for cardiovascular disease reduction that related to common, treatable sleep disorders, using data from clinical trials and epidemiological studies.

But also, other countries are interested in reliable methods to measure benefits for patients, for example, to support Health Technology Assessments by patient preferences [ 2, 3].

He is particularly interested in methods for understanding drug action at molecular, cellular, organism and population levels.

He is broadly interested in methods for the analysis of large datasets, particularly at the interface between statistical machine learning, optimization and computational geometry.

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