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Associate Machine Learning Government Jobs in New Hampshire

Adecco

CNC Machinist

Nashua, NH

$27 - $32/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Perform multiple machine setups per shift on CNC equipment, including Haas machines * Prepare CAM ... Commitment to continuous learning and process improvement If you are interested in this position ...

Adecco

CNC Machinist

Nashua, NH

$27 - $32/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Perform multiple machine setups per shift on CNC equipment, including Haas machines * Prepare CAM ... Commitment to continuous learning and process improvement If you are interested in this position ...

GEOKON

Machinist II

Lebanon, NH · On-site

$25.87 - $29.24/hr

... while learning GD&T symbols. * Select appropriate cutting tools, fixtures, and tooling systems to ... Associate's degree in management and/or Technical Certificate with 1-3 year of relevant work ...

Geokon Inc

Machinist II

Lebanon, NH

$25.87 - $29.24/hr

... while learning GD&T symbols. * Select appropriate cutting tools, fixtures, and tooling systems to ... Associate's degree in management and/or Technical Certificate with 1-3 year of relevant work ...

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All JobsAssociate Machine Learning Government JobsAssociate Machine Learning Government Jobs in New Hampshire

Associate Machine Learning Government information

What is the difference between Associate Machine Learning Government vs Data Scientist Government?

AspectAssociate Machine Learning GovernmentData Scientist Government
Required CredentialsBachelor's degree in CS, Data Science, or related field; some roles may require certifications in ML or AIBachelor's or Master's in Data Science, Statistics, or related; certifications like CAP or DASCA are common
Work EnvironmentGovernment agencies, research labs, or defense sectors; focus on ML model development and deploymentGovernment agencies, policy analysis, research; focus on data analysis, modeling, and insights
Employer & Industry UsageFederal, state, or local government; defense, intelligence, or public servicesGovernment departments, research institutions, public policy agencies

Associate Machine Learning Government and Data Scientist Government roles often overlap in credentials and work environment, but the former emphasizes ML model development, while the latter focuses on broader data analysis and insights within government sectors.

What are popular job titles related to Associate Machine Learning Government jobs in New Hampshire?

For Associate Machine Learning Government jobs in New Hampshire, the most frequently searched job titles are:

What job categories do people searching Associate Machine Learning Government jobs in New Hampshire look for?

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What cities in New Hampshire are hiring for Associate Machine Learning Government jobs?

Cities in New Hampshire with the most Associate Machine Learning Government job openings:

Associate Machine Learning Government jobs near you

Postdoctoral Research Associate

University System of New Hampshire

Durham, NH • On-site, Remote

$55K/yr

Full-time

Re-posted 21 days ago

University System Of New Hampshire rating

8.8

Company rating: 8.8 out of 10

Based on 16 frontline employees who took The Breakroom Quiz

45th of 620 rated colleges and universities

Job description

USNH Employees should apply within Workday through the Jobs Hub app

The Global Ecology group at the Earth Systems Research Center, University of New Hampshire (UNH), has an immediate opening for a postdoctoral research associate. The goal of this project is to advance understanding of how ecosystem functioning, productivity, carbon uptake/stock, and resilience respond to climate change, and how these responses are mediated by biodiversity and management across regional to global scales. The successful applicant will integrate ground-based observations (e.g., eddy covariance measurements, forest inventories) with satellite remote sensing data (e.g., spaceborne lidar and/or hyperspectral observations) and apply machine learning and deep learning approaches to address these questions.
This position is funded by NASA. The appointment is for one year initially and may be renewed depending on funding availability and satisfactory performance.

Duties/Responsibilities

  • Conduct novel research to understand how terrestrial ecosystems respond to climate extremes (e.g., drought, heatwaves) and disturbances, and how these responses are mediated by biodiversity and management, using state-of-the-art ground-based and satellite observations as well as machine learning/deep learning methods.

  • Lead manuscript preparation and conference presentations on project findings, with a strong emphasis on publishing high-quality and high-impact papers.

Requirements

Minimum Acceptable Education & Experience:

  • A Ph.D. in areas such as ecology, remote sensing, atmospheric sciences/meteorology, biogeosciences, forestry/natural resources, environmental science, or a related field is required.

Knowledge, Skills & Abilities:

  • Applicants should be enthusiastic, creative, and highly motivated. Ideal candidates should have one or more of the following experiences: mechanistic understanding of ecosystem functioning and processes, satellite remote sensing, processing of large data sets, machine learning/deep learning, Earth system modeling, and synthesis of in-situ observations.

  • Strong communication, writing, and programming skills and publication record are highly desirable.

Applicant Instructions

Applicants should be prepared to upload the following documents when applying online within the Resume/Cover Letter section of your application:

  • Resume/CV

  • Cover Letter

  • Contact Information for 3 Professional References

Applications that are missing any of the required items may not move forward for consideration. Additional uploaded documents not requested in the position announcement will not be reviewed.

Compensation Pay Range:

$55,000

Please be advised that this position is supported by external sponsor funding. As such, continued employment in this role is contingent upon the availability of those external funds. If, for any reason, the sponsor funding is reduced or discontinued, employment may be subject to modification or termination in accordance with applicable policies and procedures.

The University of New Hampshire is an R1 Carnegie classification research institution providing comprehensive, high-quality undergraduate and graduate programs of distinction. UNH is located in Durham on a 188-acre campus, 60 miles north of Boston and 8 miles from the Atlantic coast and is convenient to New Hampshire's lakes and mountains. There is a student enrollment of 13,000 students, with a full-time faculty of over 600, offering 90 undergraduate and more than 70 graduate programs. The University actively promotes a dynamic learning environment in which qualified individuals of differing perspectives, life experiences, and cultural backgrounds pursue academic goals with mutual respect and shared inquiry.

EEO Statement

The University System of New Hampshire is an Equal Opportunity/Equal Access employer. The University System is committed to creating an environment that values and supports diversity and inclusiveness across our campus communities and encourages applications from qualified individuals who will help us achieve this mission. The University System prohibits discrimination on the basis of race, color, religion, sex, age, national origin, sexual orientation, gender identity or expression, disability, genetic information, veteran status, or marital status.

The pay range for this position is listed above. Actual offer will be based on skills, qualifications, experience, and internal equity, in addition to relevant business considerations. More information on benefits can be found here: USNH Employee Benefits | Human Resources

Location:

Durham

Salary Grade:

Faculty 01

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