The phrase "adapted for the task" is correct and usable in written English.
You can use it when describing something that has been modified or tailored to suit a specific purpose or job.
Example: "The software was adapted for the task of data analysis, making it more efficient for our needs."
Alternatives: "tailored for the task" or "customized for the task."
We used similar displays to those used by Hilimire and colleagues [13] but adapted for the same/different task (see Figure 1).
Finally, pattern-matching techniques together with rule-based approaches combined with machine-learning classifier could be successfully adapted for this task.
The multi-task methods had to be adapted for the prediction of novel targets.
ELISpots were originally developed to quantitate memory B-cell responses secreting antibodies, and have subsequently been adapted for various tasks that allow the simultaneous detection of multiple antibodies.
Hydrogenase, the enzyme catalyzing the interconversion of H2 into protons and electrons, is thus considered an ancestral invention, for which the molecular structure and architecture have been thoroughly adapted for specialized tasks, undertaken in peculiar environments, during the course of the evolution.
Furthermore, the algorithm can be adapted for multiple tasks, including particle filtration, constellation design, and Monte-Carlo simulation of an orbital computation.
We believe that using networks for visualizing and analyzing data requires methods that would be able to create more suitable biological network layouts adapted for a particular task.
Existing services can be modified, or new services can be added very easily in ROS layer to adapt for the requirement of customized manipulation task.
These figures are calculated using BLAT (Kent 2002), which is not perfectly adapted to the task for algorithmic reasons (Imelfort 2009).
Currently, a workable solution is provided with the availability of generalized multifactor dimensionality reduction (GMDR) algorithm on a computing system with graphics processing units (GPUs), a type of hardware implementation of parallel computation that can be adapted for many scientific tasks [ 23].
