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- Tasks: Develop deep learning models for automated epilepsy diagnosis and seizure classification.
- Company: Join a pioneering project focused on improving patient care through technology.
- Benefits: Flexible contract duration, hands-on experience, and the chance to make a real difference.
- Why this job: Be at the forefront of medical tech, using AI to transform epilepsy diagnosis.
- Qualifications: Experience in machine learning and deep learning is essential.
- Other info: Opportunity to work with cutting-edge biosignal data and neuroimaging.
The predicted salary is between 500 - 1500 £ per month.
Epilepsy is a chronic neurological disorder characterized by recurrent, unprovoked seizures. Accurate and early detection of epilepsy, along with seizure type classification, is vital for patient care, especially for individuals at risk of unrecognized, focal, or non-motor seizures.
This project proposes a two-pronged deep learning approach for automated epilepsy diagnosis and seizure type classification using both:
- Wearable multi-modal biosignal data (from SeizeIT2 dataset)
- Publicly available brain MRI image data of epileptic and non-epileptic patients (e.g., TUSZ-MRI or Bern EEG-MRI)
Combining time-series sensor modalities with neuroimaging data allows for a hybrid diagnostic pipeline that mimics how clinicians correlate neurological imaging with behavioral/physiological markers.
The details of the project and milestones can be found in the attached file.
Contract duration of 1 to 3 months.
Mandatory skills: Machine Learning, Deep Learning, Neural Network, Artificial Neural Network
Optional skills: Algorithm Development, Statistics
Deep Learning Expert for Epilepsy Diagnosis employer: FreelanceJobs
Contact Detail:
FreelanceJobs Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Deep Learning Expert for Epilepsy Diagnosis
✨Tip Number 1
Network like a pro! Reach out to professionals in the epilepsy and deep learning fields on LinkedIn. Join relevant groups and participate in discussions to get your name out there and show off your expertise.
✨Tip Number 2
Showcase your skills! Create a portfolio that highlights your projects related to machine learning and deep learning, especially any work with biosignal data or neuroimaging. This will give potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge. Be ready to discuss your experience with neural networks and algorithm development. Practise explaining complex concepts in simple terms, as if you're teaching someone new to the field.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might be perfect for you. Plus, it’s a great way to ensure your application gets seen by the right people.
We think you need these skills to ace Deep Learning Expert for Epilepsy Diagnosis
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with machine learning and deep learning, especially in relation to epilepsy or similar projects. We want to see how your skills align with our needs, so don’t be shy about showcasing relevant work!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Tell us why you’re passionate about epilepsy diagnosis and how your expertise can contribute to our project. Keep it engaging and personal – we love to see your personality come through.
Showcase Your Projects: If you've worked on any relevant projects, especially those involving neural networks or algorithm development, make sure to mention them. We’re keen to see practical examples of your work that demonstrate your skills and creativity.
Apply Through Our Website: We encourage you to apply directly through our website for a smoother process. It helps us keep track of applications and ensures you get the best chance to showcase your talents. Plus, it’s super easy!
How to prepare for a job interview at FreelanceJobs
✨Know Your Stuff
Make sure you brush up on your knowledge of machine learning and deep learning, especially as it relates to epilepsy diagnosis. Be ready to discuss specific algorithms you've worked with and how they can be applied to the project at hand.
✨Showcase Your Projects
Prepare to talk about any relevant projects you've completed, particularly those involving multi-modal data or neural networks. Highlight your role, the challenges you faced, and the outcomes. This will demonstrate your hands-on experience and problem-solving skills.
✨Understand the Data
Familiarise yourself with the SeizeIT2 dataset and any other relevant datasets mentioned in the job description. Being able to discuss how you would approach analysing this data will show your commitment and understanding of the project's requirements.
✨Ask Insightful Questions
Prepare thoughtful questions about the project and the team. This could include inquiries about the current challenges they face in epilepsy diagnosis or how they envision the integration of biosignal data with neuroimaging. It shows you're genuinely interested and engaged.
