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- Tasks: Join our IMAGINE lab to manage neuroimaging datasets and develop AI tools for epilepsy research.
- Company: Be part of King's College, a diverse community committed to inclusivity and groundbreaking research.
- Benefits: Enjoy a full-time role with a fixed-term contract and opportunities for professional growth.
- Why this job: Work collaboratively with engineers and clinicians on impactful projects in neurodevelopmental disorders.
- Qualifications: PhD in a relevant field, programming skills in Python, and experience with large imaging datasets required.
- Other info: We offer sponsorship for candidates needing the right to work in the UK.
The predicted salary is between 36000 - 60000 £ per year.
We are seeking an ambitious and motivated computational research scientist to join our new Wellcome-funded Imaging Machine learning And Genetics in Neurodevelopment (IMAGINE) lab.
The project aims to
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organise and manage large multicentre datasets of neuroimaging data
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develop machine learning / AI tools to identify abnormalities in epilepsy and other neurodevelopmental disorders
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create translational tools for evaluation on clinical cohorts.
The post-holder will also be expected to work collaboratively on a range of projects within the IMAGINE lab, which includes engineers, data scientists and clinicians.
This is a full time post (35 hours per week) and you will be offered a fixed term contract until 01/04/2028., We pride ourselves on being inclusive and welcoming. We embrace diversity and want everyone to feel that they belong and are connected to others in our community.
We are committed to working with our staff and unions on these and other issues, to continue to support our people and to develop a diverse and inclusive culture at King’s.
We ask all candidates to submit a copy of their CV, and a supporting statement, detailing how they meet the essential criteria listed in the advert. If we receive a strong field of candidates, we may use the desirable criteria to choose our final shortlist, so please include your evidence against these where possible.
To find out how our managers review your application, please take a look at our ‘ How we Recruit’ pages.
This role does meet the requirements of the Home Office and therefore we are able to offer sponsorship for candidates who require the right to work in the UK.
To be successful in this role, we are looking for candidates to have the following skills and experience, 1. PhD qualified in relevant subject area (or pending results)*
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Experience working with large imaging datasets
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Excellent computer programming abilities evidenced by available code
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Presenting scientific research in the form of papers, posters or oral presentations
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Ability to work well as an effective member of a multidisciplinary team, collaborating with clinicians, engineers and neuroscientists., 1. Expertise in Python programming for Machine and Deep Learning, e.g., sklearn, pytorch, tensorflow
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Previous experience working with neurodevelopmental imaging data
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Previous experience in working on modelling development (e.g. growth curves, normative models)
Job offer Post-doctoral Research Associate in Developmental Neuroimaging and Machine Learning employer: King's College London
Contact Detail:
King's College London Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Job offer Post-doctoral Research Associate in Developmental Neuroimaging and Machine Learning
✨Tip Number 1
Make sure to familiarize yourself with the latest advancements in machine learning and neuroimaging. Being able to discuss recent research or tools in your interview can demonstrate your passion and knowledge in the field.
✨Tip Number 2
Network with professionals in the field, especially those who have experience in multidisciplinary teams. Engaging with current researchers or attending relevant conferences can provide insights and connections that may help you stand out.
✨Tip Number 3
Prepare to showcase your programming skills, particularly in Python. Consider creating a small project or contributing to an open-source project that highlights your abilities in machine learning and deep learning frameworks like TensorFlow or PyTorch.
✨Tip Number 4
Be ready to discuss your collaborative experiences. Think of specific examples where you worked effectively within a team of diverse professionals, as this role emphasizes the importance of collaboration across disciplines.
We think you need these skills to ace Job offer Post-doctoral Research Associate in Developmental Neuroimaging and Machine Learning
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your PhD qualifications and relevant experience with large imaging datasets. Include specific programming skills, especially in Python for Machine and Deep Learning, and any previous work with neurodevelopmental imaging data.
Craft a Strong Supporting Statement: In your supporting statement, clearly address how you meet the essential criteria listed in the job description. Provide concrete examples of your experience in presenting scientific research and collaborating within multidisciplinary teams.
Highlight Relevant Projects: If you have worked on projects involving machine learning tools or modelling development, be sure to mention these. Detail your contributions and the outcomes to demonstrate your capability and fit for the role.
Review and Submit: Before submitting your application, review all documents for clarity and completeness. Ensure that your CV and supporting statement are free of errors and effectively showcase your qualifications. Submit your application through our website.
How to prepare for a job interview at King's College London
✨Showcase Your Technical Skills
Be prepared to discuss your programming abilities in Python, especially with libraries like sklearn, pytorch, and tensorflow. Bring examples of your code or projects that demonstrate your expertise in machine learning and deep learning.
✨Highlight Collaborative Experience
Since the role involves working with a multidisciplinary team, share specific examples of past collaborations with clinicians, engineers, or other scientists. Emphasize how you contributed to team projects and what you learned from those experiences.
✨Discuss Your Research Impact
Prepare to talk about your previous research, particularly any work related to neurodevelopmental imaging data. Focus on how your findings can translate into clinical applications, as this aligns with the goals of the IMAGINE lab.
✨Prepare for Behavioral Questions
Expect questions about how you handle challenges in a team setting or manage large datasets. Use the STAR method (Situation, Task, Action, Result) to structure your responses and provide clear, concise examples.
