Advanced NeuroImaging Researcher in Deep Learning
1 month ago
We are seeking a talented postdoctoral researcher to join our team at the Neurobiology Research Unit (NRU) in Copenhagen, Denmark. As an Advanced NeuroImaging Researcher in Deep Learning, you will play a crucial role in improving the state-of-the-art automatic detection of brain abnormalities in epilepsy and developing models to assist diagnosis.
About the Project:
The BrainDrugs consortium is looking for a researcher with expertise in deep learning models applied to medical imaging to work on tackling abnormalities in MR of clinical quality. You will collaborate closely with expert clinicians in epilepsy and be well-positioned to deliver a clinically relevant impact.
About the Position:
- You will work independently and collaboratively within a team to develop and implement advanced neuroimaging techniques using deep learning algorithms.
- Participate in close collaboration with expert clinicians in epilepsy to tackle abnormalities in MR of clinical quality.
- Contribute to the development of models to assist diagnosis and improve the state-of-the-art automatic detection of brain abnormalities in epilepsy.
- Work closely with other researchers and clinicians to ensure seamless integration of research findings into clinical practice.
About Us:
The Neurobiology Research Unit (NRU) is part of Copenhagen University Hospital, Rigshospitalet. At NRU, we conduct pioneering translational neuroscience research aimed at advancing preventive, diagnostic, and therapeutic solutions for brain disorders. Our work involves a blend of neuropsychological and behavioral assessments, advanced imaging techniques (MRI, PET, SPECT, EEG), and innovative neuropharmacological studies. We collaborate closely with hospital clinics, academia, and industry to ensure our research has immediate, real-world impact.
About the Location:
Copenhagen, Denmark, ranked the world's second most liveable city for a third consecutive year, offers a unique blend of urban and natural environments. The city provides easy access to education, culture, and entertainment, as well as a strong sense of community and social cohesion.
Your Benefits:
- A competitive salary of approximately 55000-60000 DKK per month (approximately 7250-7850 USD or 6500-6850 EUR), based on your qualifications and experience.
- A comprehensive benefits package including pension scheme, health insurance, and generous holiday entitlement.
- The opportunity to work in a dynamic and international environment with a diverse team of experts from various fields.
- A chance to contribute to cutting-edge research and make a meaningful impact in the field of neuroimaging and deep learning.
Requirements:
- PhD in Neuroimaging, Medical Imaging, or equivalent.
- Established expertise in deep learning models applied to medical imaging.
- Excellent verbal and written communication skills.
- Ability to work independently and collaboratively within a team.
How to Apply:
To apply for this exciting opportunity, please submit your application, including a CV, a short motivation letter (maximum 1 page), a copy of your doctoral certificate or letter signed by your promoter that a doctoral certificate is expected in due time, a publication list, and a maximum number of three scientific publications. Teaching portfolio and references can also be included if available.
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Hillerød, Hillerød Kommune, Denmark Region Hovedstaden Full timeJob DescriptionAt the Neurobiology Research Unit (NRU) in Region Hovedstaden, we are seeking a highly skilled postdoctoral researcher to join our team. As a Postdoctoral Research Fellow in NeuroImaging and Deep Learning, you will be part of a collaborative project aimed at improving the automatic detection of brain abnormalities in epilepsy.We are looking...
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Hillerød, Hillerød Kommune, Denmark Region Hovedstaden Full timeThe Neurobiology Research Unit (NRU) at Copenhagen University Hospital/Rigshospitalet is seeking a talented postdoctoral researcher to work on improving the current state-of-the-art automatic detection of brain abnormalities in epilepsy.The position focuses on tackling abnormalities in MR images of clinical quality, with an emphasis on developing models to...
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