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- Tasks: Lead projects on neural circuits and design machine learning methods for brain imagery analysis.
- Company: MRC Laboratory of Molecular Biology in Cambridge, a leader in scientific research.
- Benefits: Competitive salary, 40.5 days holiday, pension scheme, and training opportunities.
- Other info: Join a dynamic team at the forefront of neurobiology research.
- Why this job: Make a real impact in neuroscience with cutting-edge technology and research.
- Qualifications: PhD in a biological field or MSc/MPhil with computer vision experience.
The predicted salary is between 52253 - 60834 £ per year.
The MRC Laboratory of Molecular Biology (LMB) in Cambridge seeks a Senior Investigator Scientist (Software Engineer) to lead projects on neural circuits. The role involves designing machine learning methods for analyzing complex brain imagery.
Candidates should have a PhD in a biological field or an MSc/MPhil with experience in computer vision.
The position offers a salary ranging from £52,253 to £60,834 per annum and comes with excellent benefits including 40.5 days of holiday, pension scheme, and training opportunities.
Senior Neurobiology ML Engineer – Connectome Vision employer: MRC Laboratory of Molecular Biology (LMB)
Contact Detail:
MRC Laboratory of Molecular Biology (LMB) Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Neurobiology ML Engineer – Connectome Vision
✨Tip Number 1
Network like a pro! Reach out to professionals in the neurobiology and machine learning fields on LinkedIn. A friendly message can go a long way, and you never know who might have the inside scoop on job openings.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects related to neural circuits and machine learning. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your knowledge of brain imagery analysis and computer vision techniques. We recommend practising common interview questions and even doing mock interviews with friends or mentors.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Senior Neurobiology ML Engineer – Connectome Vision
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in machine learning and computer vision. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or research!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about neural circuits and how your background makes you the perfect fit for this position. We love seeing enthusiasm and a personal touch.
Showcase Your Research: If you’ve published any papers or worked on significant projects, make sure to mention them. We’re interested in your contributions to the field, especially those related to brain imagery and machine learning methods.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you’re serious about joining our team!
How to prepare for a job interview at MRC Laboratory of Molecular Biology (LMB)
✨Know Your Neural Circuits
Make sure you brush up on your knowledge of neural circuits and how they relate to machine learning. Be prepared to discuss specific projects or research you've done in this area, as it shows your passion and expertise.
✨Showcase Your ML Skills
Since the role involves designing machine learning methods, be ready to talk about your experience with algorithms and techniques relevant to computer vision. Bring examples of past projects where you've successfully applied these skills.
✨Prepare for Technical Questions
Expect some technical questions that will test your understanding of both neurobiology and machine learning. Practise explaining complex concepts in simple terms, as this demonstrates your ability to communicate effectively with a diverse team.
✨Highlight Collaboration Experience
This position is likely to involve working with various teams. Share examples of how you've collaborated with others in previous roles, especially in interdisciplinary settings, to show that you're a team player who can thrive in a collaborative environment.