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Researcher Profile Recognised Researcher (R2) Positions Postdoc Positions Country Spain Application Deadline 11 Nov 2025 - 23:59 (Europe/Andorra) Type of Contract Temporary Job Status Full-time Hours Per Week
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? No Offer Description What: A full-time postdoc contract of up to 3.5 years to engineer synthetic gene circuits Where: University Pompeu Fabra, Barcelona, Spain When: Deadline: 26th Oct 2025 or until
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 4 days ago
Posting Information Posting Details Department Lampe Biomedical Engineering - 424601 Posting Open Date 10/16/2025 Application Deadline Open Until Filled Yes Position Type Postdoctoral Scholar
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Researcher Profile Recognised Researcher (R2) Positions Postdoc Positions Country Spain Application Deadline 4 Nov 2025 - 23:59 (Europe/Andorra) Type of Contract Temporary Job Status Full-time Hours Per Week
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Engineering, Biomedical Engineering, Mechanical Engineering or a related field. Nano/microfabrication experience Prior experience with designing and testing in vitro or implantable sensors Prior experience with
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3 Oct 2025 Job Information Organisation/Company Universite de Montpellier Department Human Resources Research Field Engineering » Biomedical engineering Engineering » Biomaterial engineering
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applies sophisticated statistical analyses to these unique and state-of-the-art datasets to model processes related to aging and disease. The postdoc will join a growing multidisciplinary team of
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healthcare. Qualifications Required: PhD (or equivalent) in computer science, statistics, biostatistics, electrical/biomedical engineering, or related quantitative field. Strong background in machine learning
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machine learning, statistics, or applied mathematics that could drive the frontier of biomedical research. The role will be focused on the development of novel computational and algorithmic methods, with a
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engineering-based research applicable to cardiovascular disease as part of an extramurally funded project. The successful applicant will create computational models from medical imaging data and run simulations