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Temporary Machine Learning Postdoc Jobs in Georgia

Morehouse School of Medicine

Postdoctoral Fellow

Atlanta, GA · On-site

$47K - $63K/yr

... machine learning/AI applications. • Experience with CRISPR techniques; microbiome experiments and analysis; advanced statistical analysis and data visualization. Closing Date Open Until Filled No ...

Georgia Tech

Postdoctoral Fellow

Atlanta, GA · On-site

$47K - $64K/yr

Apply for Job Job ID 301330 Location Atlanta, Georgia Full/Part Time Full-Time Regular/Temporary ... Contribute to the development and application of machine learning, reduced-order models ...

PRGX Global, Inc

Artificial Intelligence Intern

Atlanta, GA · On-site

$14.25 - $19/hr

Job Title Artificial Intelligence Intern Employment Type Temporary Work Authorization Requirements ... Job Duties & Responsibilities · Apply machine learning algorithms and statistical models to large ...

New

Shoptalk

Director Software Development

Alpharetta, GA · On-site

$190 - $260/hr

Define architecture and technology strategy for backend services, data platforms, machine learning ... Individuals with temporary visas including, but not limited to, F-1 (OPT, CPT, STEM), H-1B, H-2, or ...

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Temporary Machine Learning Postdoc information

What are the key skills and qualifications needed to thrive as a Temporary Machine Learning Postdoc, and why are they important?

To thrive as a Temporary Machine Learning Postdoc, you need a PhD in a relevant field, a solid grasp of machine learning theory, and strong programming skills (often in Python or R). Experience with tools such as TensorFlow, PyTorch, and high-performance computing environments, as well as a record of peer-reviewed research, is typically required. Strong analytical thinking, collaboration, and effective communication help you stand out in this research-intensive role. These skills are essential for advancing cutting-edge research, publishing impactful findings, and contributing to interdisciplinary projects.

What types of projects and collaborations can a Temporary Machine Learning Postdoc expect to engage in during their appointment?

A Temporary Machine Learning Postdoc typically works on cutting-edge research projects, often contributing to ongoing studies or initiating novel investigations within the field. Collaboration is common, both within their immediate research group and with interdisciplinary teams, such as data scientists, domain experts, or industry partners. Postdocs may also mentor graduate students, present findings at conferences, and publish papers, gaining valuable experience that can lead to academic or industry roles. The environment is fast-paced and research-driven, offering opportunities for professional growth and expanding one's research portfolio.

What is a Temporary Machine Learning Postdoc?

A Temporary Machine Learning Postdoc is a fixed-term research position, typically held at a university or research institution, focused on advancing knowledge and techniques in machine learning. Postdoctoral researchers in this role work on specific projects, often collaborating with faculty, graduate students, or industry partners. The position is designed to provide advanced training and research experience after earning a PhD, usually lasting from several months to a couple of years. Temporary postdocs may contribute to publishing academic papers, developing algorithms, and mentoring students, while preparing for longer-term academic or industry careers.

What is the difference between Temporary Machine Learning Postdoc vs Data Scientist?

AspectTemporary Machine Learning PostdocData Scientist
CredentialsPhD in Computer Science, Data Science, or related fieldBachelor's or Master's in Data Science, Computer Science, or related field; often requires experience
Work EnvironmentAcademic or research institutions, labsCorporate, tech companies, startups
Employer & Industry UsageUniversities, research centersBusiness, technology, finance, healthcare
Search & Comparison IntentUnderstanding research-focused roles, academic opportunitiesIndustry roles, applied data analysis, business impact

The Temporary Machine Learning Postdoc is primarily research-oriented, often in academic or research settings, requiring a PhD. In contrast, a Data Scientist typically works in industry, applying data analysis and machine learning to solve business problems, often with a Bachelor's or Master's degree. Both roles involve machine learning skills but differ in environment, focus, and experience level.

What are the most commonly searched types of Machine Learning Postdoc jobs in Georgia? The most popular types of Machine Learning Postdoc jobs in Georgia are:
What are popular job titles related to Temporary Machine Learning Postdoc jobs in Georgia? For Temporary Machine Learning Postdoc jobs in Georgia, the most frequently searched job titles are:
What job categories do people searching Temporary Machine Learning Postdoc jobs in Georgia look for? The top searched job categories for Temporary Machine Learning Postdoc jobs in Georgia are:
What cities in Georgia are hiring for Temporary Machine Learning Postdoc jobs? Cities in Georgia with the most Temporary Machine Learning Postdoc job openings:
    Temporary Machine Learning Postdoc jobs near you

    Post Doctoral Fellow in Machine Learning and Data Science

    Emory University

    Atlanta, GA • On-site

    $47K - $63K/yr

    Full-time

    Re-posted 11 hours ago

    Emory Healthcare rating

    7.8

    Company rating: 7.8 out of 10

    Based on 214 frontline employees who took The Breakroom Quiz

    130th of 887 rated healthcare providers

    Job description

    Job Summary:
    Emory University is a leading research university that fosters excellence and attracts world-class talent to innovate today and prepare leaders for the future. The Emory Sports Performance And Research Center (SPARC) is seeking a highly motivated postdoctoral fellow to conduct research in advanced prediction and optimization modeling, focusing on injury risk and performance in professional sports using machine learning and data analysis techniques.
    Responsibilities:
    • Helps design and conduct research within a specified field while receiving advanced training from a designated Principal Investigator to enhance professional skills and research independence needed for pursuit of a career.
    • The specific area of research in which the trainee is mentored is determined by the department and laboratory of the Postdoc.
    • Designs and evaluates experiments.
    • Develops new ideas that promote current research.
    • Prepares and publishes scientific manuscripts under the direction of the Principal Investigator.
    • May be responsible for operation of specific equipment.
    • May teach techniques to others, train, and supervise research staff.
    • Positions are temporary appointments as a research trainee.
    • The initial appointment is for one year, renewal expected if progress is satisfactory and funds are available.
    • Appointments cannot exceed five years.
    Qualifications:
    Required:
    • A doctoral degree or equivalent (Ph.D., M.D., ScD., D.V.M., DDS etc) in an appropriate field.
    • Excellent scientific writing ability and strong oral communication skills.
    • The ability to work effectively and collegially with colleagues.
    • Additional qualifications as specified by the Principal Investigator.
    Preferred:
    • A Ph.D. in Computer Science, Data Science, Economics, Engineering, or related field
    • Excellent scientific written and oral skills
    • Experience in developing state-of-the-art optimization and prediction models
    • Strong programming skills
    • Experience in organizing and handling large, multimodal data sets
    • Experience using AWS and other high performance computing platforms
    • Experience using Databricks, Snowflake, and/or similar data analytics platforms
    • Knowledge of human musculoskeletal anatomy
    • Experience developing human pose estimation and biomechanics models
    • Experience in musculoskeletal modeling/OpenSim and muscle optimization
    • Interest in improving health and performance outcomes in collegiate and professional sports
    Company:
    Emory University is an institute of higher learning and a private research university. Founded in 1836, the company is headquartered in Atlanta, USA, with a team of 10001+ employees. The company is currently Late Stage.

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