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GehcCDTNet PhD Fellow
Osloonsiteprincipal
Posted today · via Workday
About this role
Job Description Summary For this position, we are looking for a talented and ambitious doctoral candidate to join CDTnet, a Marie Skłodowska-Curie Actions (MSCA) Doctoral Network dedicated to transforming cardiovascular medicine through Digital Twins. Digital Twins are personalised virtual models that combine biomedical data, artificial intelligence, physiological modelling, and clinical knowledge to improve the diagnosis, prevention, and treatment of cardiovascular disease. Through CDTnet, 15 doctoral candidates will work at leading universities, hospitals and industry partners across Europe while receiving world-class interdisciplinary training. This fully-funded three-year position will be hosted in Oslo, Norway with secondments in Norway, Spain and the UK.…
What we'd score you on
reqspace match rubricFive dimensions, recruiter-grade. Upload your resume and we'll generate a written explanation of where you fit and where the gaps are.
1
Skills match
For this role: python, mode, pytorch, tensorflow, linear
2
Level fit
This role is principal-level. We check your trajectory against it.
3
Domain experience
Your work in the role's domain matters more than your years total. We weight recent and direct experience.
4
Recency
A skill you used last quarter weighs more than one from five years ago. We grade on recency, not lifetime.
5
Location fit
This role is based in Oslo. We weight your proximity and willingness to relocate.
Score yourself on this role.
Free · no card · written explanation included
Skills in this role
Pulled from the job description. These are the keywords we'll weight when scoring your fit.
pythonmodepytorchtensorflowlinear