At a Glance
- Tasks: Lead projects analysing neural circuits using machine learning and computer vision.
- Company: Leading research laboratory in Cambridge with a focus on innovation.
- Benefits: Generous holiday entitlement, training opportunities, and excellent benefits.
- Why this job: Make a real impact in neurobiology while advancing your career in a cutting-edge field.
- Qualifications: PhD or significant industry experience in computer vision and machine learning.
- Other info: Join a dynamic team dedicated to groundbreaking research and discovery.
The predicted salary is between 48000 - 72000 £ per year.
A leading research laboratory in Cambridge seeks a Senior Investigator Scientist to lead projects studying neural circuits. The ideal candidate will have a PhD or significant industry experience in computer vision and machine learning.
Responsibilities include designing and applying machine learning approaches for analysing large biological data sets.
The laboratory offers excellent benefits, including a generous holiday entitlement and training opportunities.
Senior Investigator Scientist, Neurobiology & Connectome ML 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 Investigator Scientist, Neurobiology & Connectome ML
✨Tip Number 1
Network like a pro! Reach out to professionals in the neurobiology and machine learning fields on LinkedIn. Join relevant groups and engage in discussions to get your name out there.
✨Tip Number 2
Showcase your skills! Create a portfolio that highlights your projects in computer vision and machine learning. This will give potential employers a clear view of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice common interview questions related to neural circuits and data analysis to boost your confidence.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities, and applying directly can sometimes give you an edge over other candidates.
We think you need these skills to ace Senior Investigator Scientist, Neurobiology & Connectome ML
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in computer vision and machine learning. 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 neurobiology and how your background makes you the perfect fit for our team. Let us know what excites you about this opportunity!
Showcase Your Projects: If you've worked on any significant projects related to neural circuits or large biological data sets, make sure to mention them. We love seeing practical applications of your skills, so include links or descriptions of your work!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from 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 the latest research in neurobiology and connectomics. Familiarise yourself with key concepts and recent advancements, as this will show your genuine interest and expertise in the field during the interview.
✨Showcase Your Machine Learning Skills
Prepare to discuss specific machine learning techniques you've applied in past projects. Be ready to explain how you designed algorithms for analysing large biological data sets, as this will demonstrate your hands-on experience and problem-solving abilities.
✨Ask Insightful Questions
Think of thoughtful questions to ask about the laboratory's current projects and future directions. This not only shows your enthusiasm but also helps you gauge if the lab's goals align with your own interests and career aspirations.
✨Highlight Collaboration Experience
Since you'll be leading projects, it's crucial to emphasise your experience working in teams. Share examples of how you've successfully collaborated with other scientists or engineers, as teamwork is key in a research environment.