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What is a neural networks job?

A Neural Networks job typically involves designing, developing, and optimizing artificial neural networks for tasks such as image recognition, natural language processing, and predictive analytics. Professionals in this field work with machine learning frameworks like TensorFlow or PyTorch, train deep learning models, and fine-tune architectures for better accuracy and efficiency. These roles are common in AI research, data science, robotics, and software development. Strong skills in programming, mathematics, and data handling are essential for success in this field.

What are the key skills and qualifications needed to thrive in a neural networks position?

To thrive in a Neural Networks role, you need a solid background in mathematics, programming (Python, TensorFlow, PyTorch), and machine learning principles, often attained through a degree in computer science or a related field. Familiarity with neural network frameworks, model deployment tools, and cloud computing platforms is highly valuable, as are certifications such as TensorFlow Developer or AWS Machine Learning. Excellent problem-solving abilities, communication skills, and a collaborative mindset help you excel when working on interdisciplinary teams and complex projects. These skills are crucial for designing, training, and optimizing neural network models that effectively solve real-world problems in diverse industries.

What are the most common challenges faced in a neural networks role, and how can I prepare for them?

Professionals working in neural networks frequently encounter challenges such as managing large datasets, tuning hyperparameters, handling overfitting or underfitting, and keeping up with rapidly evolving technologies. You can prepare by building a strong foundation in relevant mathematical concepts, staying up-to-date on industry advancements, and practicing hands-on model development and troubleshooting. Collaborating with peers and participating in open-source projects or competitions can deepen your expertise and problem-solving skills. Employers also value candidates who can communicate complex ideas clearly and work well in diverse, multidisciplinary teams.

What are the most commonly searched types of Neural Networks jobs in Florida?

The most popular types of Neural Networks jobs in Florida are:

What are popular job titles related to Neural Networks jobs in Florida?

For Neural Networks jobs in Florida, the most frequently searched job titles are:

What job categories do people searching Neural Networks jobs in Florida look for?

The top searched job categories for Neural Networks jobs in Florida are:

Neural Networks jobs near you
Infographic showing various Neural Networks job openings in Florida as of August 2026, with employment types broken down into 46% Full Time, 53% Part Time, and 1% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution.

Research Associate, Aerospace Engineering, Daytona Beach Campus

Embry-Riddle Aeronautical University

Daytona Beach, FL • On-site

Full-time

Re-posted yesterday

Embry-Riddle Aeronautical University rating

7.2

Company rating: 7.2 out of 10

Based on 22 frontline employees who took The Breakroom Quiz

386th of 620 rated colleges and universities

Job description

Job Summary:
Embry-Riddle Aeronautical University is a global leader in aviation and aerospace education. They are seeking a Research Associate to contribute to an interdisciplinary project focused on developing mathematical and machine learning tools for bone age classification using neural networks.
Responsibilities:
• Conduct cutting-edge research on mathematical and computational methods for machine learning applied to bone age classification
• Develop and evaluate neural network and deep learning models for medical image analysis
• Investigate techniques to mitigate high false positive rates in AI-based classification systems
• Contribute to the development of a web-based interface for automated bone age assessment
• Publish research findings in peer-reviewed scientific journals and conferences
• Collaborate with interdisciplinary research teams
• Present work at scientific conferences (travel may be required)
Qualifications:
Required:
• Ph.D. (or equivalent doctorate) in Machine Learning, Artificial Intelligence, Computer Science, or a closely related field
• Strong background in machine learning and AI, particularly in medical imaging applications
• Demonstrated ability in advanced mathematical methods relevant to machine learning
• Proven track record of scientific publications or strong potential to publish
• Experience with neural networks, deep learning, and related techniques
Preferred:
• Experience with medical image analysis or healthcare-related AI systems
• Familiarity with model evaluation and techniques to reduce false positives
• Experience developing user-facing tools or web-based applications
Company:
Embry-Riddle Aeronautical University is the world’s oldest and largest fully accredited university specializing in aviation and aerospace. Founded in 1926, the company is headquartered in Daytona Beach, USA, with a team of 1001-5000 employees. The company is currently Late Stage.

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