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Artificial Intelligence Machine Learning Physics Jobs in West Virginia

Demonstrated knowledge or experience with artificial intelligence concepts and tools (e.g., machine learning, generative AI, data analytics, prompt engineering) * Strong communication and ...

Demonstrated knowledge or experience with artificial intelligence concepts and tools (e.g., machine learning, generative AI, data analytics, prompt engineering) * Strong communication and ...

AI Engineer

WV · On-site +1

$81K - $97K/yr

Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP) Certifications: None Experience: 3 + years of related experience US Citizenship Required: No An AI engineer is ...

No As the Senior Data Scientist for Machine Learning supporting the Healthcare Fraud Prevention ... and artificial intelligence to ensure authenticity and protect against identity fraud. You are ...

... with artificial intelligence. We collaborate closely with one of the top medical schools in the ... Learn and understand a large body of research in deep learning and machine learning * Participate ...

... with artificial intelligence. We collaborate closely with one of the top medical schools in the ... Learn and understand a large body of research in deep learning and machine learning * Participate ...

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Artificial Intelligence Machine Learning Physics information

What is artificial intelligence machine learning physics?

Artificial Intelligence Machine Learning Physics is an interdisciplinary field that applies AI and machine learning techniques to solve complex problems in physics. Experts in this area use algorithms to analyze large datasets, model physical phenomena, and accelerate scientific discoveries. The field combines knowledge of physics, computer science, and mathematics to design models that can predict, simulate, or interpret physical processes. Applications include materials science, quantum mechanics, astrophysics, and more, making it a rapidly growing area of research and industry.

What are the key skills and qualifications needed to thrive as an artificial intelligence machine learning physicist, and why are they important?

To thrive as an Artificial Intelligence Machine Learning Physicist, you need a strong background in physics, advanced mathematics, computer science, and experience with machine learning algorithms, typically supported by a graduate degree in a related field. Proficiency in programming languages such as Python or C++, machine learning frameworks like TensorFlow or PyTorch, and familiarity with data analysis tools are essential, along with experience in scientific computing. Critical thinking, problem-solving, and strong communication skills help you interpret complex data, collaborate across disciplines, and convey research findings effectively. These combined skills are crucial for developing innovative AI models, driving scientific discovery, and advancing technology at the intersection of physics and machine learning.

What collaborative projects can professionals in artificial intelligence machine learning physics expect to work on?

Professionals in Artificial Intelligence Machine Learning Physics often work on interdisciplinary teams, partnering closely with data scientists, physicists, and software engineers. They may contribute to projects such as developing advanced simulation tools, optimizing experimental data analysis, or creating machine learning models to predict physical phenomena. Collaboration is key, as these roles frequently involve integrating AI algorithms with physical models and leveraging domain-specific knowledge from physics experts. This dynamic environment fosters continual learning and offers opportunities to lead innovative research or transition into specialized engineering and research leadership roles.

What is the difference between Artificial Intelligence Machine Learning Physics vs Data Scientist?

AspectArtificial Intelligence Machine Learning PhysicsData Scientist
Required credentialsDegree in Computer Science, Physics, or related fields; certifications in AI/MLDegree in Statistics, Mathematics, Computer Science; certifications in data analysis
Work environmentResearch labs, tech companies, academia focusing on AI/ML applications in physicsBusiness, finance, healthcare sectors analyzing large datasets
Industry usageDeveloping AI models for physics simulations, research, and technologyExtracting insights from data to inform business decisions

Artificial Intelligence Machine Learning Physics and Data Scientist roles share a focus on data analysis and technical skills. However, AI/ML Physics emphasizes developing algorithms within physics contexts, while Data Scientists focus on analyzing diverse datasets across industries. Both roles often require similar educational backgrounds and certifications, but their applications and work environments differ significantly.

Is artificial intelligence and machine learning a good career?

Artificial Intelligence and Machine Learning are growing fields with high demand for skilled professionals, including roles like AI engineers and data scientists. These careers often require strong programming skills, knowledge of algorithms, and experience with tools like Python and TensorFlow. They offer competitive salaries and opportunities for innovation across various industries.

What are popular job titles related to Artificial Intelligence Machine Learning Physics jobs in West Virginia?

For Artificial Intelligence Machine Learning Physics jobs in West Virginia, the most frequently searched job titles are:

What job categories do people searching Artificial Intelligence Machine Learning Physics jobs in West Virginia look for?

The top searched job categories for Artificial Intelligence Machine Learning Physics jobs in West Virginia are:

What cities in West Virginia are hiring for Artificial Intelligence Machine Learning Physics jobs?

Cities in West Virginia with the most Artificial Intelligence Machine Learning Physics job openings:

Adjunct Instructor-Artificial Intelligence

Nwacc
Education Programs Administration • 501 - 1,000 employees

Part-time

Re-posted 24 days ago


Job description

NorthWest Arkansas Community College (NWACC) provides quality and affordable higher education to empower lives and strengthen communities within Northwest Arkansas and surrounding areas.
As the largest community college in Arkansas, NWACC is recognized as a leader in education. NWACC offers a full range of associate degrees, certificates and workforce training programs that prepare students for rewarding futures and careers.

NWACC employees are dedicated to fostering a diverse educational community and cultural learning environment that supports student success.

NorthWest Arkansas Community College (NWACC) is seeking qualified applicants to establish a pool for part-time and/or substitute instructors to teach foundational courses in Artificial Intelligence as part of the college's Certificate of Proficiency and Associate of Applied Science in Artificial Intelligence programs, and future AI programs. These courses introduce students to the principles, history, tools, and workplace applications of AI. The ideal candidate will demonstrate both technical expertise and the ability to create engaging, accessible learning experiences that prepare students to use AI responsibly and effectively across a range of industries. This role also offers opportunities to contribute to program development and collaborate with industry partners to ensure curriculum relevance and workforce alignment.
Job Description

Essential Duties:

  • Deliver engaging and student-centered instruction aligned with NWACC's approved AI curriculum and learning outcomes.

  • Introduce students to foundational AI concepts, terminology, and real-world applications across business, education, healthcare, and technology.

  • Facilitate discussions on the ethical, social, and economic implications of artificial intelligence.

  • Demonstrate practical use of AI tools and platforms (e.g., ChatGPT, Gemini, Copilot, Claude, Perplexity) and guide students in hands-on projects.

  • Provide timely and constructive feedback on student work and assessments.

  • Maintain accurate records of student performance and attendance in accordance with college policies.

  • Stay current with emerging AI tools and integrate new technologies into instruction where appropriate.

  • Participate in required orientation, meetings, and professional development activities.

  • Use the college's learning management system (LMS) to post materials, communicate with students, and assess assignments.

  • Foster a collaborative and inclusive classroom environment that encourages curiosity, innovation, and responsible use of AI technologies.

Rate of Pay: $875 per credit hour

Minimum Qualifications:

  • Bachelor's degree in Computer Science, Information Technology, Data Science, Artificial Intelligence, Engineering, Business Analytics, or a related field

  • Demonstrated knowledge or experience with artificial intelligence concepts and tools (e.g., machine learning, generative AI, data analytics, prompt engineering)

  • Strong communication and instructional skills appropriate for college-level teaching

  • A combination of education and significant industry experience (minimum five years) may be considered in place of formal degree requirements

Preferred Qualifications:

  • Master's degree in a related discipline or combination of education and industry experience in AI, data science, or emerging technologies

  • Teaching experience at the college or adult education level, including experience with online and hybrid platforms such as Zoom, Teams, or Canvas

  • Demonstrated commitment to ethical AI practices and the responsible use of emerging technologies

  • Industry certifications or practical experience with AI-driven applications, data visualization, or applied data analytics

  • Experience using AI tools for productivity, creative applications, or data analysis

Knowledge, Skills, and Abilities:

  • Knowledge of AI applications and tools used across multiple industries

  • Knowledge of adult learning principles and instructional design for technology-based courses

  • Knowledge of college policies, FERPA, and online education best practices

  • Ability to deliver complex technical content clearly to diverse learners

  • Ability to foster critical thinking and problem-solving skills in diverse student populations

  • Excellent communication, adaptability, and collaboration skills

Physical Demands / Work Environment:

This position requires regular use of computers and other instructional technology. The instructor must be able to sit, stand, walk, speak, and hear routinely. Visual acuity is required for reading, grading, and computer-based tasks. Work is typically performed in a professional office or classroom setting with moderate noise levels and standard lighting and temperature. Occasional travel to other instructional sites or events may be required.

Work Environment:

Instruction may be delivered in-person, hybrid, or online, depending on program needs. Evening or weekend availability may be required.

NWACC is an Equal Opportunity Employer, please see our EEO policy.


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About NWACC

Sourced by ZipRecruiter

Industry

Education programs administration

Company size

501 - 1,000 Employees

Headquarters location

Bentonville, AR, US

Year founded

1989