Click on the Job ID below to apply for the job listed.
|JobID||PI||Description of Job||Reward|
|GA13001||AE||Write code in Python or R to calculate descriptive statistics on a dataset. The dataset will contain between 1 and 100 million lines with each line containing 1 to 10 categorical variables and 1 to 10 continuous variables (i.e. 2 to 20 total factors).||To be negotiated; inquire|
|GA13002||SPHS||Review about five hundred Agilent BioAnalyzer data files on about 1500 samples, extracting mean and standard deviation (skewness and kurtosis also desired but optional) into a new data table. Extract similar-size data from excel files containing qPCR data and from final sequencing output. The end result will be one data table with 1500 rows and about 10 columns.||To be negotiated; inquire|
|GA13003||AE||You have an irregular object, in 2D, given to you as a silhouette on a background. |
You take the volume of the irregular object.
You divide the irregular object via vertical lines; up to ten such lines.
You place the lines within the irregular object such that the lines represent some fraction of the volume. That is, if 10:10:10:30:40 is input, then you drop four vertical lines, dividing the irregular object into areas of 10%, 10%, 10%, 30%, and 40%.
As a bonus, you color the areas differently.
In the end, your project will look something like this (but with solid colors, rather than arty stuff):
And will be applied to something like this:
|To be negotiated; inquire|