Machine Learning Algorithms Jobs in Ames, IA

46 Jobs Found

Machine Learning Algorithms Jobs in Ames, IA

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Position Title:Temporary Research ScientistAppointment Type:Professional & ScientificJob Description:This position will be conducting project research such as surveys interviews and analysis as well as preparing and writing project reports. Required minimum qualifications: Bachelo More...

Employer Active Posted on 11 Apr | Part-Time | Easy Apply

Position Title:Community Capitals Research Scientist IIJob Group:Professional & ScientificRequired Minimum Qualifications:Bachelors degree and 2 years of related experiencePreferred Qualifications:MA MS and/or PhD degree in the social sciences agriculture or a related discipline E More...

Employer Active Posted on 10 Apr | Full-Time | Easy Apply

The Customer Engagement Technologies (CET) organization powers Customer Service (CS) by developing elegant Customer and Customer Service Associate (CSA) facing products globally. These products offer effortless selfservice and automated solutions to our customers. If customers prefer More...

Employer Active Posted on 09 Apr | Remote | Easy Apply

Working with UsChallenging. Meaningful. Lifechanging. Those arent words that are usually associated with a job. But working at Bristol Myers Squibb is anything but usual. Here uniquely interesting work happens every day in every department. From optimizing a production line to the lat More...

Employer Active Posted on 08 Apr | Remote | Easy Apply

Job DescriptionWHAT YOU WILL BE DOINGDevelop and document firearm toolmark evidence.Collect known exemplars for comparisons (toolmark firearm).Analyze and compare specific characteristics that distinguish items. Evaluates strength of support between associated known/exemplar standards More...

Employer Active Posted on 07 Apr | Remote | Easy Apply

Job DescriptionWHAT YOU WILL BE DOINGDevelop and document firearm toolmark evidence.Collect known exemplars for comparisons (toolmark firearm).Analyze and compare specific characteristics that distinguish items. Evaluates strength of support between associated known/exemplar standards More...

Employer Active Posted on 06 Apr | Remote | Easy Apply