The phrase "a pool of time" is correct and usable in written English.
It can be used metaphorically to describe a period or collection of time that is available for use or consideration.
Example: "In this busy world, we often find ourselves wishing for a pool of time to reflect and recharge."
Alternatives: "a reservoir of time" or "a span of time".
Each RNA sample from a treated animal was compared with a pool of time-matched control mRNAs and analyzed in duplicate (dye reversal experiments) on Agilent-011868 (G4130A) rat oligonucleotide microarrays (Agilent Technologies, Palo Alto, CA).
By selecting quintuplets from a pool of 20 time points, it is possible to estimate how close the near-optimal design is to the optimal.
We welcome applications for a pool of part-time, non-tenure track lecturers who can teach 15-person sections in our web-based cybersecurity master's program.
We welcome applications for a pool of part-time, non-tenure track lecturers who can teach classes in our Master of Information Management and Systems program.
We welcome applications for a pool of part-time, non-tenure track lecturers who can teach 15-person sections in our web-based master's program in data science.
Larger companies are solving this problem with appointment scheduling software that allows applicants to choose from a pool of interview times.
He was one of a pool of 20,000 one-time Islamist jihadi suspects but was not one of the 3,000 people under active investigation.
Checks for bugs in clients' software using a pool of 100,000 part-time testers across the globe.
According to the experiment's description, LaMem is the "largest annotated image memorability dataset to date (containing 60,000 images from diverse sources)." The scientists built the LaMem data set through an online crowdsourcing survey where a pool of participants, 27 times larger than the previous dataset, were shown a series of images and asked to identify which pictures they recognised.
According to the experiment's description, LaMem is the "largest annotated image memorability dataset to date (containing 60,000 images from diverse sources)." The scientists built the LaMem data set through an online crowdsourcing survey where a pool of participants, 27 times larger than the previous dataset, were shown a series of images and asked to identify which pictures they recognized.
For example, if you have a team, you might set a mid-week deadline for a pool of questions three times the size of what you need for the episode.
