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discipline. Strong programming experience (Python preferred) is essential. Experience in medical imaging, machine learning, biomedical engineering or image analysis is desirable, but is not essential. Start
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for Biomedical Research (FMI)CountrySwitzerlandCityBaselPostal Code4056StreetFabrikstrasse 24Geofield Contact City Basel Website http://www.fmi.ch Street Fabrikstrasse 24 Postal Code 4056 E-Mail opening@fmi.ch
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22 Apr 2026 Job Information Organisation/Company Friedrich Miescher Institute for Biomedical Research Research Field Biological sciences » Biology Researcher Profile Recognised Researcher (R2
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Automation), with a specialization in: Electronics, Instrumentation, Biomedical Imaging and Signal and Image Processing The candidate should have the following skills: Strong background in electronic
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Predoctoral Researcher (PhD Candidate) in Computational Simulation and AI for Therapeutic Ultrasound
24 Apr 2026 Job Information Organisation/Company Fundación de investigación HM Hospitales Department HM CINAC Research Field Engineering » Biomedical engineering Physics » Applied physics
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24 Apr 2026 Job Information Organisation/Company IMT Atlantique Department Doctoral division Research Field Physics » Optics Engineering » Biomedical engineering Technology » Medical technology
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related to staff position within a Research Infrastructure? No Offer Description Ultrasonic waves are widely used in biomedical applications such as medical imaging, physiotherapy, and targeted drug
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molecular imaging research program. This platform will support translational studies mainly in oncology, through quantitative multimodal imaging (PET-CT, SPECT-CT, optical imaging, autoradiography
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Biomedical Engineering Department Website Link https://bme.engineering.arizona.ed Location Tucson Campus Address Tucson, AZ USA Position Highlights The Department of Biomedical Engineering at the University
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motivated to advance trustworthy artificial intelligence in medical imaging? In this postdoctoral position, you will work on explainable AI and foundation models for CT imaging, combining methodological