At a Glance
- Tasks: Develop predictive deep learning models from wearable data during pregnancy.
- Company: King's College London, a leader in maternal health research.
- Benefits: Opportunities for conference travel, academic publications, and collaboration.
- Other info: Join a dynamic team focused on advancing maternal health.
- Why this job: Make a real difference in precision maternal care with innovative technology.
- Qualifications: Experience in machine learning and data analysis.
King's College London researchers seek a Research Scientist in Machine Learning for Wearables to develop predictive deep learning models from multimodal wearable data collected during pregnancy. The role supports personalised interventions and advances in precision maternal care within EMBRACE led by Professor Josip Car.
Work includes:
- Analysing heart rate, sleep, activity and voice biomarkers
- Opportunities for conference travel and academic publications
- Collaboration across various teams
ML Research Scientist, Wearables for Maternal Health employer: King’s College London
King's College London is an exceptional employer, offering a vibrant work culture that prioritises diversity and inclusion. Employees benefit from professional growth opportunities, competitive remuneration, and the chance to contribute to impactful research projects in the heart of Greater London, making it a rewarding environment for those passionate about advancing knowledge and innovation.
StudySmarter Expert Advice🤫
We think this is how you could land ML Research Scientist, Wearables for Maternal Health
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We think you need these skills to ace ML Research Scientist, Wearables for Maternal Health
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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Craft a Tailored Cover Letter:For a full-time role at King’s College London, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at King’s College London. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at King’s College London
✨Brush Up on Your Statistics
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Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
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✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
